{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import torch\n",
"import torchvision\n",
"import lightning as L\n",
"\n",
"modelR50 = torchvision.models.resnet50(weights=torchvision.models.ResNet50_Weights.DEFAULT)\n",
"modelEV2 = torchvision.models.efficientnet_v2_s(weights=torchvision.models.EfficientNet_V2_S_Weights.DEFAULT)"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import torch\n",
"import torchvision\n",
"import lightning as L\n",
"import van\n",
"\n",
"modelR50 = torchvision.models.resnet50(weights=torchvision.models.ResNet50_Weights.DEFAULT)\n",
"modelEV2 = van.van_b2()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Block(\n",
" (norm1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (attn): Attention(\n",
" (proj_1): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1))\n",
" (activation): GELU(approximate='none')\n",
" (spatial_gating_unit): LKA(\n",
" (conv0): Conv2d(64, 64, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), groups=64)\n",
" (conv_spatial): Conv2d(64, 64, kernel_size=(7, 7), stride=(1, 1), padding=(9, 9), dilation=(3, 3), groups=64)\n",
" (conv1): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1))\n",
" )\n",
" (proj_2): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1))\n",
" )\n",
" (drop_path): Identity()\n",
" (norm2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (mlp): Mlp(\n",
" (fc1): Conv2d(64, 512, kernel_size=(1, 1), stride=(1, 1))\n",
" (dwconv): DWConv(\n",
" (dwconv): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512)\n",
" )\n",
" (act): GELU(approximate='none')\n",
" (fc2): Conv2d(512, 64, kernel_size=(1, 1), stride=(1, 1))\n",
" (drop): Dropout(p=0.0, inplace=False)\n",
" )\n",
")"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"modelEV2.block1[-1]"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Sequential(\n",
" (0): Bottleneck(\n",
" (conv1): Conv2d(1024, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
" (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (bn3): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (relu): ReLU(inplace=True)\n",
" (downsample): Sequential(\n",
" (0): Conv2d(1024, 2048, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
" (1): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" )\n",
" )\n",
" (1): Bottleneck(\n",
" (conv1): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
" (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (bn3): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (relu): ReLU(inplace=True)\n",
" )\n",
" (2): Bottleneck(\n",
" (conv1): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
" (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (bn3): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (relu): ReLU(inplace=True)\n",
" )\n",
")"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"modelR50.layer4"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"dummyLoad = torch.rand(1, 3, 224, 224)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Initialize a variable to store the output\n",
"last_conv_output = None\n",
"\n",
"# Define a hook function to capture the output\n",
"def hook_fn(module, input, output):\n",
" global last_conv_output\n",
" last_conv_output = output"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"modelEV2.eval()\n",
"modelEV2.block4[-1].mlp.dwconv.register_forward_hook(hook_fn)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"modelEV2(dummyLoad).shape"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"last_conv_output.shape"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"modelR50"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"torch.nn.functional.adaptive_avg_pool2d()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"modelR50.layer4[-1].conv3"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"modelEV2.eval()\n",
"salida = modelEV2(dummyLoad)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"modelEV2.forward_features(dummyLoad).shape"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"modelEV2Sub = torch.nn.Sequential(*list(modelEV2.children())[:-1])\n",
"modelEV2"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"salida.shape"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"modelR50.eval()\n",
"subModel = torch.nn.Sequential(*list(modelR50.children())[:-2])"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"subModel(dummyLoad).shape"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"for params in modelEV2.parameters():\n",
" print(params)\n",
" break"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"torch.norm(params, p=2)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"torch.linalg.norm(params)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"modelR50_Decoder = torch.nn.Sequential(*list(modelR50.children())[:-2])\n",
"modelEV2_Decoder = modelEV2.features"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"modelEV2"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import timm\n",
"\n",
"model = timm.create_model(\"davit_small.msft_in1k\", pretrained=True, num_classes=1)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"modelEV2.fc2= torch.nn.Linear(12,2)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import torch\n",
"\n",
"pred = torch.tensor([0.3137, 0.3161, 0.4395, 0.4636, 0.4427, 0.3616, 0.3256, 0.3367])\n",
"trueVal = torch.tensor([0.1577, 0.8148, 0.4295, 0.4841, 0.5133, 0.2474, 0.6306, 0.3618])\n",
"\n",
"PredBach = torch.tensor([[0.3137, 0.3161, 0.4395, 0.4636, 0.4427, 0.3616, 0.3256, 0.3367],\n",
" [0.2372, 0.0121, 0.5123, 0.4597, 0.3809, 0.3405, 0.3988, 0.3922],\n",
" [0.0436, 0.0425, 0.2698, 0.5095, 0.5610, 0.2571, 0.6514, 0.4645]])"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"res = torch.abs(PredBach - PredBach )\n",
"print(res)\n",
"res = torch.sum(res, 1)\n",
"\n",
"mean = res.mean(1).unsqueeze(1)\n",
"\n",
"f = (res <= mean).float()\n",
"\n",
"f.split\n",
"\n",
"f = f / f.count_nonzero(dim=1).unsqueeze(1)\n",
"\n",
"torch.sum(PredBach * f, dim=1)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"def CalcAgreement(x:torch):\n",
" deltas = torch.sum(torch.abs(x.unsqueeze(1) - x), 1)\n",
" deltasMean = deltas.mean()\n",
" \n",
" factor = (deltas <= deltasMean).float()\n",
" factor = factor / factor.count_nonzero()\n",
" \n",
" return torch.dot(factor, x)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"torch.tensor([CalcAgreement(d.squeeze()) for d in PredBach.split(1, 0)])"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"res = []\n",
"for d in PredBach.split(1, 0):\n",
" res.append(CalcAgreement(d.squeeze()))\n",
"\n",
"torch.tensor(res)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"CalcAgreement(pred)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"torch.abs(pred.unsqueeze(1) - pred)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"a = torch.sum(torch.abs(pred.unsqueeze(1) - pred), 1)\n",
"aMean = a.mean()\n",
"aMean"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"factor = (a <= aMean).float()\n",
"factor = factor / factor.count_nonzero()\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"factor, a, pred, factor * pred, torch.dot(factor, pred)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"def kl_diver(a, b):\n",
" return torch.sum(a * torch.log(a/b))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"kl_diver(pred, pred)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Dkl = torch.nn.KLDivLoss(reduction=\"sum\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Dkl(pred, trueVal)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import Models\n",
"\n",
"modelo = Models.RARP_NVB_EfficientNetV2_Deep()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"modelo.model.classifier"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"class RARP_NVB_NN(L.LightningModule):\n",
" def __init__(self, input_size:int=4) -> None:\n",
" super().__init__()\n",
" \n",
" self.model = torch.nn.Sequential(\n",
" torch.nn.Linear(input_size, 3),\n",
" torch.nn.ReLU(),\n",
" torch.nn.Linear(3, 1)\n",
" )\n",
" \n",
" def forward(self, data):\n",
" x = self.model(data)\n",
" return x\n",
" "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"class RARP_NVB_ResNet50_CAM(L.LightningModule):\n",
" def __init__(self) -> None:\n",
" super().__init__()\n",
" \n",
" self.model = torchvision.models.resnet50()\n",
" tempFC_ft = self.model.fc.in_features \n",
" self.model.fc = torch.nn.Linear(in_features=tempFC_ft, out_features=1)\n",
" \n",
" self.feature_map = torch.nn.Sequential(*list(self.model.children())[:-2])\n",
" \n",
" def forward(self, data):\n",
" featureMap = self.feature_map(data)\n",
" Cont_Net = torch.nn.functional.adaptive_avg_pool2d(input=featureMap, output_size=(1, 1)) \n",
" Cont_Net = torch.flatten(Cont_Net)\n",
" \n",
" pred = self.model.fc(Cont_Net)\n",
" \n",
" return pred, featureMap"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from typing import Any\n",
"\n",
"\n",
"class Modelo_er(L.LightningModule):\n",
" def __init__(self, *args: Any, **kwargs: Any) -> None:\n",
" super().__init__(*args, **kwargs)\n",
" \n",
" self.feature_map1 = torch.nn.Sequential(*list(modelR50.children())[:-2])\n",
" self.feature_map2 = modelEV2.features\n",
" \n",
" def forward(self, data):\n",
" featureMap1 = self.feature_map1(data)\n",
" featureMap2 = self.feature_map2(data)\n",
" \n",
" Cont_Net1 = torch.nn.functional.adaptive_avg_pool2d(input=featureMap1, output_size=(1, 1)) \n",
" Cont_Net2 = torch.nn.functional.adaptive_avg_pool2d(input=featureMap2, output_size=(1, 1)) \n",
" \n",
" Cont_Net1 = torch.flatten(Cont_Net1)\n",
" #Cont_Net2 = torch.flatten(Cont_Net2)\n",
" \n",
" return Cont_Net1, Cont_Net2"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from torchvision import transforms\n",
"import defs\n",
"import Loaders\n",
"from torch.utils.data import DataLoader\n",
"\n",
"Dataset = Loaders.RARP_DatasetCreator(\n",
" \"./DataSet_big_2\",\n",
" FoldSeed=505,\n",
" createFile=True,\n",
" SavePath=\"./DatasetBig2\",\n",
" Fold=5,\n",
" removeBlackBar=True,\n",
")\n",
"\n",
"Dataset.CreateFolds()\n",
"device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n",
"Dataset.mean, Dataset.std = ([30.38144216, 42.03988769, 97.8896116], [40.63141752, 44.26910074, 50.29294373])\n",
"batchSize = 17\n",
"Fold = 0\n",
"rootFile = Dataset.CVS_File.parent.parent/f\"fold_{Fold}\"\n",
"\n",
"testtransform = torch.nn.Sequential(\n",
" transforms.Resize(256, antialias=True),\n",
" transforms.CenterCrop(224),\n",
" transforms.Normalize(Dataset.mean, Dataset.std)\n",
").to(device)\n",
"\n",
"testDataset = torchvision.datasets.DatasetFolder(\n",
" str (rootFile/\"test\"),\n",
" loader=defs.load_file_tensor,\n",
" extensions=\"npy\",\n",
" transform=testtransform\n",
")\n",
"\n",
"Test_DataLoader = DataLoader(\n",
" testDataset, \n",
" batch_size=batchSize, \n",
" num_workers=0, \n",
" shuffle=False, \n",
" pin_memory=True\n",
")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"ModeloObj = Modelo_er()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"ModeloObj.to(device)\n",
"ModeloObj.eval()\n",
"\n",
"with torch.no_grad():\n",
" for data, label in iter(Test_DataLoader):\n",
" data = data.float().to(device)\n",
" label = label.to(device)\n",
" pred = ModeloObj(data)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import Models as M\n",
"\n",
"lsita = [M.RARP_NVB_ResNet50(None, M.TypeLossFunction.BCEWithLogits), M.RARP_NVB_ResNet18(None, M.TypeLossFunction.BCEWithLogits)]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"lsita[0]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"torch.flatten(pred[1]).shape"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"from pathlib import Path\n",
"\n",
"DumpCSV = pd.read_csv(Path(\"./DatasetSmallBalanced_seed_505/dump/dataset.csv\"))\n",
"Extradata = pd.read_excel(Path(\"./DataSet_smallBalaced/data.xlsx\"))\n",
"\n",
"Extradata[\"name\"] = Extradata[\"列1\"].astype(str) + \".tiff\"\n",
"Extradata = Extradata.drop(columns=[\"列1\"])\n",
"\n",
"DumpCSV[\"raw_name\"] = \"Img0-\" + DumpCSV[\"id\"].astype(str) + \".npy\"\n",
"DumpCSV = DumpCSV.drop(columns=[\"id\", \"path\", \"mean_1\", \"mean_2\", \"mean_3\", \"std_1\", \"std_2\", \"std_3\"])\n",
"\n",
"NewData = pd.merge(Extradata, DumpCSV, on=\"name\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Path(\"./DatasetSmallBalanced_seed_505/dump/dataset.csv\").name"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Extradata.head()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"DumpCSV.head()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"NewData.head()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"NewData[NewData[\"name\"] == \"51.tiff\"].values.flatten().tolist()[:4]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from transformers import AutoFeatureExtractor, VanForImageClassification\n",
"\n",
"model = VanForImageClassification.from_pretrained(\"Visual-Attention-Network/van-base\")\n",
"feature_extractor = AutoFeatureExtractor.from_pretrained(\"Visual-Attention-Network/van-base\")\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"feature_extractor"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from timm.models.layers import DropPath, to_2tuple, trunc_normal_\n",
"from timm.models.registry import register_model\n",
"from timm.models.vision_transformer import _cfg"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import torch\n",
"\n",
"checkpoint = torch.hub.load_state_dict_from_url(\n",
" url=\"https://huggingface.co/Visual-Attention-Network/VAN-Small-original/resolve/main/van_small_811.pth.tar\", map_location=\"cpu\", check_hash=True\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"tensor([4, 2, 1])"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import torch\n",
"\n",
"w = torch.tensor([2, 1, 1])\n",
"\n",
"w * torch.tensor([2, 2, 1])"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"tensor([0.3000, 2.0000, 1.0000])"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": []
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"ResNet(\n",
" (conv1): Conv2d(3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False)\n",
" (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (relu): ReLU(inplace=True)\n",
" (maxpool): MaxPool2d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False)\n",
" (layer1): Sequential(\n",
" (0): BasicBlock(\n",
" (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
" (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (relu): ReLU(inplace=True)\n",
" (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
" (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" )\n",
" (1): BasicBlock(\n",
" (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
" (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (relu): ReLU(inplace=True)\n",
" (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
" (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" )\n",
" )\n",
" (layer2): Sequential(\n",
" (0): BasicBlock(\n",
" (conv1): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
" (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (relu): ReLU(inplace=True)\n",
" (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
" (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (downsample): Sequential(\n",
" (0): Conv2d(64, 128, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
" (1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" )\n",
" )\n",
" (1): BasicBlock(\n",
" (conv1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
" (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (relu): ReLU(inplace=True)\n",
" (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
" (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" )\n",
" )\n",
" (layer3): Sequential(\n",
" (0): BasicBlock(\n",
" (conv1): Conv2d(128, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
" (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (relu): ReLU(inplace=True)\n",
" (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
" (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (downsample): Sequential(\n",
" (0): Conv2d(128, 256, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
" (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" )\n",
" )\n",
" (1): BasicBlock(\n",
" (conv1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
" (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (relu): ReLU(inplace=True)\n",
" (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
" (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" )\n",
" )\n",
" (layer4): Sequential(\n",
" (0): BasicBlock(\n",
" (conv1): Conv2d(256, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
" (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (relu): ReLU(inplace=True)\n",
" (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
" (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (downsample): Sequential(\n",
" (0): Conv2d(256, 512, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
" (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" )\n",
" )\n",
" (1): BasicBlock(\n",
" (conv1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
" (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (relu): ReLU(inplace=True)\n",
" (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
" (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" )\n",
" )\n",
" (avgpool): AdaptiveAvgPool2d(output_size=(1, 1))\n",
" (fc): Linear(in_features=512, out_features=1000, bias=True)\n",
")"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import torchvision\n",
"torchvision.models.resnet18(weights=torchvision.models.ResNet18_Weights.DEFAULT)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"import van\n",
"\n",
"model = van.van_b2(pretrained = True, num_classes = 0)\n"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"VAN(\n",
" (patch_embed1): OverlapPatchEmbed(\n",
" (proj): Conv2d(3, 64, kernel_size=(7, 7), stride=(4, 4), padding=(3, 3))\n",
" (norm): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" )\n",
" (block1): ModuleList(\n",
" (0-2): 3 x Block(\n",
" (norm1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (attn): Attention(\n",
" (proj_1): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1))\n",
" (activation): GELU(approximate='none')\n",
" (spatial_gating_unit): LKA(\n",
" (conv0): Conv2d(64, 64, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), groups=64)\n",
" (conv_spatial): Conv2d(64, 64, kernel_size=(7, 7), stride=(1, 1), padding=(9, 9), dilation=(3, 3), groups=64)\n",
" (conv1): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1))\n",
" )\n",
" (proj_2): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1))\n",
" )\n",
" (drop_path): Identity()\n",
" (norm2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (mlp): Mlp(\n",
" (fc1): Conv2d(64, 512, kernel_size=(1, 1), stride=(1, 1))\n",
" (dwconv): DWConv(\n",
" (dwconv): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512)\n",
" )\n",
" (act): GELU(approximate='none')\n",
" (fc2): Conv2d(512, 64, kernel_size=(1, 1), stride=(1, 1))\n",
" (drop): Dropout(p=0.0, inplace=False)\n",
" )\n",
" )\n",
" )\n",
" (norm1): LayerNorm((64,), eps=1e-06, elementwise_affine=True)\n",
" (patch_embed2): OverlapPatchEmbed(\n",
" (proj): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1))\n",
" (norm): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" )\n",
" (block2): ModuleList(\n",
" (0-2): 3 x Block(\n",
" (norm1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (attn): Attention(\n",
" (proj_1): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1))\n",
" (activation): GELU(approximate='none')\n",
" (spatial_gating_unit): LKA(\n",
" (conv0): Conv2d(128, 128, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), groups=128)\n",
" (conv_spatial): Conv2d(128, 128, kernel_size=(7, 7), stride=(1, 1), padding=(9, 9), dilation=(3, 3), groups=128)\n",
" (conv1): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1))\n",
" )\n",
" (proj_2): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1))\n",
" )\n",
" (drop_path): Identity()\n",
" (norm2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (mlp): Mlp(\n",
" (fc1): Conv2d(128, 1024, kernel_size=(1, 1), stride=(1, 1))\n",
" (dwconv): DWConv(\n",
" (dwconv): Conv2d(1024, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1024)\n",
" )\n",
" (act): GELU(approximate='none')\n",
" (fc2): Conv2d(1024, 128, kernel_size=(1, 1), stride=(1, 1))\n",
" (drop): Dropout(p=0.0, inplace=False)\n",
" )\n",
" )\n",
" )\n",
" (norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True)\n",
" (patch_embed3): OverlapPatchEmbed(\n",
" (proj): Conv2d(128, 320, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1))\n",
" (norm): BatchNorm2d(320, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" )\n",
" (block3): ModuleList(\n",
" (0-11): 12 x Block(\n",
" (norm1): BatchNorm2d(320, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (attn): Attention(\n",
" (proj_1): Conv2d(320, 320, kernel_size=(1, 1), stride=(1, 1))\n",
" (activation): GELU(approximate='none')\n",
" (spatial_gating_unit): LKA(\n",
" (conv0): Conv2d(320, 320, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), groups=320)\n",
" (conv_spatial): Conv2d(320, 320, kernel_size=(7, 7), stride=(1, 1), padding=(9, 9), dilation=(3, 3), groups=320)\n",
" (conv1): Conv2d(320, 320, kernel_size=(1, 1), stride=(1, 1))\n",
" )\n",
" (proj_2): Conv2d(320, 320, kernel_size=(1, 1), stride=(1, 1))\n",
" )\n",
" (drop_path): Identity()\n",
" (norm2): BatchNorm2d(320, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (mlp): Mlp(\n",
" (fc1): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1))\n",
" (dwconv): DWConv(\n",
" (dwconv): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280)\n",
" )\n",
" (act): GELU(approximate='none')\n",
" (fc2): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1))\n",
" (drop): Dropout(p=0.0, inplace=False)\n",
" )\n",
" )\n",
" )\n",
" (norm3): LayerNorm((320,), eps=1e-06, elementwise_affine=True)\n",
" (patch_embed4): OverlapPatchEmbed(\n",
" (proj): Conv2d(320, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1))\n",
" (norm): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" )\n",
" (block4): ModuleList(\n",
" (0-2): 3 x Block(\n",
" (norm1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (attn): Attention(\n",
" (proj_1): Conv2d(512, 512, kernel_size=(1, 1), stride=(1, 1))\n",
" (activation): GELU(approximate='none')\n",
" (spatial_gating_unit): LKA(\n",
" (conv0): Conv2d(512, 512, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), groups=512)\n",
" (conv_spatial): Conv2d(512, 512, kernel_size=(7, 7), stride=(1, 1), padding=(9, 9), dilation=(3, 3), groups=512)\n",
" (conv1): Conv2d(512, 512, kernel_size=(1, 1), stride=(1, 1))\n",
" )\n",
" (proj_2): Conv2d(512, 512, kernel_size=(1, 1), stride=(1, 1))\n",
" )\n",
" (drop_path): Identity()\n",
" (norm2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (mlp): Mlp(\n",
" (fc1): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1))\n",
" (dwconv): DWConv(\n",
" (dwconv): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048)\n",
" )\n",
" (act): GELU(approximate='none')\n",
" (fc2): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1))\n",
" (drop): Dropout(p=0.0, inplace=False)\n",
" )\n",
" )\n",
" )\n",
" (norm4): LayerNorm((512,), eps=1e-06, elementwise_affine=True)\n",
" (head): Identity()\n",
")"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"model"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Using cache found in C:\\Users\\user/.cache\\torch\\hub\\facebookresearch_dino_main\n"
]
}
],
"source": [
"import torch\n",
"import torchvision\n",
"\n",
"#resnet50 = torch.hub.load('facebookresearch/dino:main', 'dino_resnet50')\n",
"resnet50 = torchvision.models.resnet50(weights=torchvision.models.ResNet50_Weights.DEFAULT)\n",
"vit = torchvision.models.vit_b_16()\n",
"\n",
"vitb8 = torch.hub.load('facebookresearch/dino:main', 'dino_vitb8')"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"VisionTransformer(\n",
" (conv_proj): Conv2d(3, 768, kernel_size=(16, 16), stride=(16, 16))\n",
" (encoder): Encoder(\n",
" (dropout): Dropout(p=0.0, inplace=False)\n",
" (layers): Sequential(\n",
" (encoder_layer_0): EncoderBlock(\n",
" (ln_1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
" (self_attention): MultiheadAttention(\n",
" (out_proj): NonDynamicallyQuantizableLinear(in_features=768, out_features=768, bias=True)\n",
" )\n",
" (dropout): Dropout(p=0.0, inplace=False)\n",
" (ln_2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
" (mlp): MLPBlock(\n",
" (0): Linear(in_features=768, out_features=3072, bias=True)\n",
" (1): GELU(approximate='none')\n",
" (2): Dropout(p=0.0, inplace=False)\n",
" (3): Linear(in_features=3072, out_features=768, bias=True)\n",
" (4): Dropout(p=0.0, inplace=False)\n",
" )\n",
" )\n",
" (encoder_layer_1): EncoderBlock(\n",
" (ln_1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
" (self_attention): MultiheadAttention(\n",
" (out_proj): NonDynamicallyQuantizableLinear(in_features=768, out_features=768, bias=True)\n",
" )\n",
" (dropout): Dropout(p=0.0, inplace=False)\n",
" (ln_2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
" (mlp): MLPBlock(\n",
" (0): Linear(in_features=768, out_features=3072, bias=True)\n",
" (1): GELU(approximate='none')\n",
" (2): Dropout(p=0.0, inplace=False)\n",
" (3): Linear(in_features=3072, out_features=768, bias=True)\n",
" (4): Dropout(p=0.0, inplace=False)\n",
" )\n",
" )\n",
" (encoder_layer_2): EncoderBlock(\n",
" (ln_1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
" (self_attention): MultiheadAttention(\n",
" (out_proj): NonDynamicallyQuantizableLinear(in_features=768, out_features=768, bias=True)\n",
" )\n",
" (dropout): Dropout(p=0.0, inplace=False)\n",
" (ln_2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
" (mlp): MLPBlock(\n",
" (0): Linear(in_features=768, out_features=3072, bias=True)\n",
" (1): GELU(approximate='none')\n",
" (2): Dropout(p=0.0, inplace=False)\n",
" (3): Linear(in_features=3072, out_features=768, bias=True)\n",
" (4): Dropout(p=0.0, inplace=False)\n",
" )\n",
" )\n",
" (encoder_layer_3): EncoderBlock(\n",
" (ln_1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
" (self_attention): MultiheadAttention(\n",
" (out_proj): NonDynamicallyQuantizableLinear(in_features=768, out_features=768, bias=True)\n",
" )\n",
" (dropout): Dropout(p=0.0, inplace=False)\n",
" (ln_2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
" (mlp): MLPBlock(\n",
" (0): Linear(in_features=768, out_features=3072, bias=True)\n",
" (1): GELU(approximate='none')\n",
" (2): Dropout(p=0.0, inplace=False)\n",
" (3): Linear(in_features=3072, out_features=768, bias=True)\n",
" (4): Dropout(p=0.0, inplace=False)\n",
" )\n",
" )\n",
" (encoder_layer_4): EncoderBlock(\n",
" (ln_1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
" (self_attention): MultiheadAttention(\n",
" (out_proj): NonDynamicallyQuantizableLinear(in_features=768, out_features=768, bias=True)\n",
" )\n",
" (dropout): Dropout(p=0.0, inplace=False)\n",
" (ln_2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
" (mlp): MLPBlock(\n",
" (0): Linear(in_features=768, out_features=3072, bias=True)\n",
" (1): GELU(approximate='none')\n",
" (2): Dropout(p=0.0, inplace=False)\n",
" (3): Linear(in_features=3072, out_features=768, bias=True)\n",
" (4): Dropout(p=0.0, inplace=False)\n",
" )\n",
" )\n",
" (encoder_layer_5): EncoderBlock(\n",
" (ln_1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
" (self_attention): MultiheadAttention(\n",
" (out_proj): NonDynamicallyQuantizableLinear(in_features=768, out_features=768, bias=True)\n",
" )\n",
" (dropout): Dropout(p=0.0, inplace=False)\n",
" (ln_2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
" (mlp): MLPBlock(\n",
" (0): Linear(in_features=768, out_features=3072, bias=True)\n",
" (1): GELU(approximate='none')\n",
" (2): Dropout(p=0.0, inplace=False)\n",
" (3): Linear(in_features=3072, out_features=768, bias=True)\n",
" (4): Dropout(p=0.0, inplace=False)\n",
" )\n",
" )\n",
" (encoder_layer_6): EncoderBlock(\n",
" (ln_1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
" (self_attention): MultiheadAttention(\n",
" (out_proj): NonDynamicallyQuantizableLinear(in_features=768, out_features=768, bias=True)\n",
" )\n",
" (dropout): Dropout(p=0.0, inplace=False)\n",
" (ln_2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
" (mlp): MLPBlock(\n",
" (0): Linear(in_features=768, out_features=3072, bias=True)\n",
" (1): GELU(approximate='none')\n",
" (2): Dropout(p=0.0, inplace=False)\n",
" (3): Linear(in_features=3072, out_features=768, bias=True)\n",
" (4): Dropout(p=0.0, inplace=False)\n",
" )\n",
" )\n",
" (encoder_layer_7): EncoderBlock(\n",
" (ln_1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
" (self_attention): MultiheadAttention(\n",
" (out_proj): NonDynamicallyQuantizableLinear(in_features=768, out_features=768, bias=True)\n",
" )\n",
" (dropout): Dropout(p=0.0, inplace=False)\n",
" (ln_2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
" (mlp): MLPBlock(\n",
" (0): Linear(in_features=768, out_features=3072, bias=True)\n",
" (1): GELU(approximate='none')\n",
" (2): Dropout(p=0.0, inplace=False)\n",
" (3): Linear(in_features=3072, out_features=768, bias=True)\n",
" (4): Dropout(p=0.0, inplace=False)\n",
" )\n",
" )\n",
" (encoder_layer_8): EncoderBlock(\n",
" (ln_1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
" (self_attention): MultiheadAttention(\n",
" (out_proj): NonDynamicallyQuantizableLinear(in_features=768, out_features=768, bias=True)\n",
" )\n",
" (dropout): Dropout(p=0.0, inplace=False)\n",
" (ln_2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
" (mlp): MLPBlock(\n",
" (0): Linear(in_features=768, out_features=3072, bias=True)\n",
" (1): GELU(approximate='none')\n",
" (2): Dropout(p=0.0, inplace=False)\n",
" (3): Linear(in_features=3072, out_features=768, bias=True)\n",
" (4): Dropout(p=0.0, inplace=False)\n",
" )\n",
" )\n",
" (encoder_layer_9): EncoderBlock(\n",
" (ln_1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
" (self_attention): MultiheadAttention(\n",
" (out_proj): NonDynamicallyQuantizableLinear(in_features=768, out_features=768, bias=True)\n",
" )\n",
" (dropout): Dropout(p=0.0, inplace=False)\n",
" (ln_2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
" (mlp): MLPBlock(\n",
" (0): Linear(in_features=768, out_features=3072, bias=True)\n",
" (1): GELU(approximate='none')\n",
" (2): Dropout(p=0.0, inplace=False)\n",
" (3): Linear(in_features=3072, out_features=768, bias=True)\n",
" (4): Dropout(p=0.0, inplace=False)\n",
" )\n",
" )\n",
" (encoder_layer_10): EncoderBlock(\n",
" (ln_1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
" (self_attention): MultiheadAttention(\n",
" (out_proj): NonDynamicallyQuantizableLinear(in_features=768, out_features=768, bias=True)\n",
" )\n",
" (dropout): Dropout(p=0.0, inplace=False)\n",
" (ln_2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
" (mlp): MLPBlock(\n",
" (0): Linear(in_features=768, out_features=3072, bias=True)\n",
" (1): GELU(approximate='none')\n",
" (2): Dropout(p=0.0, inplace=False)\n",
" (3): Linear(in_features=3072, out_features=768, bias=True)\n",
" (4): Dropout(p=0.0, inplace=False)\n",
" )\n",
" )\n",
" (encoder_layer_11): EncoderBlock(\n",
" (ln_1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
" (self_attention): MultiheadAttention(\n",
" (out_proj): NonDynamicallyQuantizableLinear(in_features=768, out_features=768, bias=True)\n",
" )\n",
" (dropout): Dropout(p=0.0, inplace=False)\n",
" (ln_2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
" (mlp): MLPBlock(\n",
" (0): Linear(in_features=768, out_features=3072, bias=True)\n",
" (1): GELU(approximate='none')\n",
" (2): Dropout(p=0.0, inplace=False)\n",
" (3): Linear(in_features=3072, out_features=768, bias=True)\n",
" (4): Dropout(p=0.0, inplace=False)\n",
" )\n",
" )\n",
" )\n",
" (ln): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
" )\n",
" (heads): Sequential(\n",
" (head): Linear(in_features=768, out_features=1000, bias=True)\n",
" )\n",
")"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"vit"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import torch\n",
"\n",
"xcit_small_12_p8 = torch.hub.load('facebookresearch/dino:main', 'dino_xcit_small_12_p8')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"xcit_small_12_p8"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"vitb8\n",
"#vit\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"ename": "KeyboardInterrupt",
"evalue": "",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mTimeoutError\u001b[0m Traceback (most recent call last)",
"File \u001b[1;32mc:\\Users\\user\\anaconda3\\envs\\pyRARP\\Lib\\socket.py:836\u001b[0m, in \u001b[0;36mcreate_connection\u001b[1;34m(address, timeout, source_address, all_errors)\u001b[0m\n\u001b[0;32m 835\u001b[0m sock\u001b[38;5;241m.\u001b[39mbind(source_address)\n\u001b[1;32m--> 836\u001b[0m \u001b[43msock\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconnect\u001b[49m\u001b[43m(\u001b[49m\u001b[43msa\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 837\u001b[0m \u001b[38;5;66;03m# Break explicitly a reference cycle\u001b[39;00m\n",
"\u001b[1;31mTimeoutError\u001b[0m: timed out",
"\nDuring handling of the above exception, another exception occurred:\n",
"\u001b[1;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
"Cell \u001b[1;32mIn[1], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mLoaders\u001b[39;00m\n\u001b[0;32m 2\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mdefs\u001b[39;00m\n\u001b[0;32m 3\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mnumpy\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mnp\u001b[39;00m\n",
"File \u001b[1;32md:\\Users\\user\\Downloads\\Research\\Loaders.py:21\u001b[0m\n\u001b[0;32m 19\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01menum\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Enum\n\u001b[0;32m 20\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mshutil\u001b[39;00m\n\u001b[1;32m---> 21\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01multralytics\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m YOLO\n\u001b[0;32m 22\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mitertools\u001b[39;00m\n\u001b[0;32m 23\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01malbumentations\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mA\u001b[39;00m\n",
"File \u001b[1;32mc:\\Users\\user\\anaconda3\\envs\\pyRARP\\Lib\\site-packages\\ultralytics\\__init__.py:5\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;66;03m# Ultralytics YOLO 🚀, AGPL-3.0 license\u001b[39;00m\n\u001b[0;32m 3\u001b[0m __version__ \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m8.0.209\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m----> 5\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01multralytics\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmodels\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m RTDETR, SAM, YOLO\n\u001b[0;32m 6\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01multralytics\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmodels\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mfastsam\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m FastSAM\n\u001b[0;32m 7\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01multralytics\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmodels\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mnas\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m NAS\n",
"File \u001b[1;32mc:\\Users\\user\\anaconda3\\envs\\pyRARP\\Lib\\site-packages\\ultralytics\\models\\__init__.py:3\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;66;03m# Ultralytics YOLO 🚀, AGPL-3.0 license\u001b[39;00m\n\u001b[1;32m----> 3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mrtdetr\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m RTDETR\n\u001b[0;32m 4\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01msam\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m SAM\n\u001b[0;32m 5\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01myolo\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m YOLO\n",
"File \u001b[1;32mc:\\Users\\user\\anaconda3\\envs\\pyRARP\\Lib\\site-packages\\ultralytics\\models\\rtdetr\\__init__.py:3\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;66;03m# Ultralytics YOLO 🚀, AGPL-3.0 license\u001b[39;00m\n\u001b[1;32m----> 3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmodel\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m RTDETR\n\u001b[0;32m 4\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpredict\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m RTDETRPredictor\n\u001b[0;32m 5\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mval\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m RTDETRValidator\n",
"File \u001b[1;32mc:\\Users\\user\\anaconda3\\envs\\pyRARP\\Lib\\site-packages\\ultralytics\\models\\rtdetr\\model.py:10\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;66;03m# Ultralytics YOLO 🚀, AGPL-3.0 license\u001b[39;00m\n\u001b[0;32m 2\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 3\u001b[0m \u001b[38;5;124;03mInterface for Baidu's RT-DETR, a Vision Transformer-based real-time object detector. RT-DETR offers real-time\u001b[39;00m\n\u001b[0;32m 4\u001b[0m \u001b[38;5;124;03mperformance and high accuracy, excelling in accelerated backends like CUDA with TensorRT. It features an efficient\u001b[39;00m\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 7\u001b[0m \u001b[38;5;124;03mFor more information on RT-DETR, visit: https://arxiv.org/pdf/2304.08069.pdf\u001b[39;00m\n\u001b[0;32m 8\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m---> 10\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01multralytics\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mengine\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmodel\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Model\n\u001b[0;32m 11\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01multralytics\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mnn\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mtasks\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m RTDETRDetectionModel\n\u001b[0;32m 13\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpredict\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m RTDETRPredictor\n",
"File \u001b[1;32mc:\\Users\\user\\anaconda3\\envs\\pyRARP\\Lib\\site-packages\\ultralytics\\engine\\model.py:8\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mpathlib\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Path\n\u001b[0;32m 6\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtyping\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Union\n\u001b[1;32m----> 8\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01multralytics\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcfg\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m TASK2DATA, get_cfg, get_save_dir\n\u001b[0;32m 9\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01multralytics\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mhub\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mutils\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m HUB_WEB_ROOT\n\u001b[0;32m 10\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01multralytics\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mnn\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mtasks\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m attempt_load_one_weight, guess_model_task, nn, yaml_model_load\n",
"File \u001b[1;32mc:\\Users\\user\\anaconda3\\envs\\pyRARP\\Lib\\site-packages\\ultralytics\\cfg\\__init__.py:10\u001b[0m\n\u001b[0;32m 7\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtypes\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m SimpleNamespace\n\u001b[0;32m 8\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtyping\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Dict, List, Union\n\u001b[1;32m---> 10\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01multralytics\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mutils\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m (ASSETS, DEFAULT_CFG, DEFAULT_CFG_DICT, DEFAULT_CFG_PATH, LOGGER, RANK, ROOT, RUNS_DIR,\n\u001b[0;32m 11\u001b[0m SETTINGS, SETTINGS_YAML, TESTS_RUNNING, IterableSimpleNamespace, __version__, checks,\n\u001b[0;32m 12\u001b[0m colorstr, deprecation_warn, yaml_load, yaml_print)\n\u001b[0;32m 14\u001b[0m \u001b[38;5;66;03m# Define valid tasks and modes\u001b[39;00m\n\u001b[0;32m 15\u001b[0m MODES \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtrain\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mval\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mpredict\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mexport\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtrack\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbenchmark\u001b[39m\u001b[38;5;124m'\u001b[39m\n",
"File \u001b[1;32mc:\\Users\\user\\anaconda3\\envs\\pyRARP\\Lib\\site-packages\\ultralytics\\utils\\__init__.py:478\u001b[0m\n\u001b[0;32m 474\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[0;32m 475\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[1;32m--> 478\u001b[0m ONLINE \u001b[38;5;241m=\u001b[39m \u001b[43mis_online\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 481\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mis_pip_package\u001b[39m(filepath: \u001b[38;5;28mstr\u001b[39m \u001b[38;5;241m=\u001b[39m \u001b[38;5;18m__name__\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28mbool\u001b[39m:\n\u001b[0;32m 482\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 483\u001b[0m \u001b[38;5;124;03m Determines if the file at the given filepath is part of a pip package.\u001b[39;00m\n\u001b[0;32m 484\u001b[0m \n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 489\u001b[0m \u001b[38;5;124;03m (bool): True if the file is part of a pip package, False otherwise.\u001b[39;00m\n\u001b[0;32m 490\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n",
"File \u001b[1;32mc:\\Users\\user\\anaconda3\\envs\\pyRARP\\Lib\\site-packages\\ultralytics\\utils\\__init__.py:468\u001b[0m, in \u001b[0;36mis_online\u001b[1;34m()\u001b[0m\n\u001b[0;32m 466\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m host \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m1.1.1.1\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m8.8.8.8\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m223.5.5.5\u001b[39m\u001b[38;5;124m'\u001b[39m: \u001b[38;5;66;03m# Cloudflare, Google, AliDNS:\u001b[39;00m\n\u001b[0;32m 467\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 468\u001b[0m test_connection \u001b[38;5;241m=\u001b[39m \u001b[43msocket\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcreate_connection\u001b[49m\u001b[43m(\u001b[49m\u001b[43maddress\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mhost\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m53\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[0;32m 469\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (socket\u001b[38;5;241m.\u001b[39mtimeout, socket\u001b[38;5;241m.\u001b[39mgaierror, \u001b[38;5;167;01mOSError\u001b[39;00m):\n\u001b[0;32m 470\u001b[0m \u001b[38;5;28;01mcontinue\u001b[39;00m\n",
"File \u001b[1;32mc:\\Users\\user\\anaconda3\\envs\\pyRARP\\Lib\\socket.py:843\u001b[0m, in \u001b[0;36mcreate_connection\u001b[1;34m(address, timeout, source_address, all_errors)\u001b[0m\n\u001b[0;32m 841\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m error \u001b[38;5;28;01mas\u001b[39;00m exc:\n\u001b[0;32m 842\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m all_errors:\n\u001b[1;32m--> 843\u001b[0m \u001b[43mexceptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mclear\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;66;03m# raise only the last error\u001b[39;00m\n\u001b[0;32m 844\u001b[0m exceptions\u001b[38;5;241m.\u001b[39mappend(exc)\n\u001b[0;32m 845\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m sock \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
"\u001b[1;31mKeyboardInterrupt\u001b[0m: "
]
}
],
"source": [
"import Loaders\n",
"import defs\n",
"import numpy as np\n",
"\n",
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"\n",
"mean, std = ([30.38144216, 42.03988769, 97.8896116], [40.63141752, 44.26910074, 50.29294373])\n",
"\n",
"trainDataset = Loaders.RARP_DatasetFolder_ROIExtractor_OnlyROI(\n",
" \"DataSet_Kpts_FullSize_seed_505/fold_0/test\",\n",
" loader=defs.load_file,\n",
" extensions=\"npy\"\n",
" )"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"import Loaders\n",
"import defs\n",
"import numpy as np\n",
"import json\n",
"import cv2\n",
"\n",
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"\n",
"\n",
"def _catmull_rom_spline(P0, P1, P2, P3, n_points=20):\n",
" points = []\n",
" for t in np.linspace(0, 1, n_points):\n",
" # Catmull-Rom formula\n",
" t2 = t * t\n",
" t3 = t2 * t\n",
" x = 0.5 * ((2 * P1[0]) +\n",
" (-P0[0] + P2[0]) * t +\n",
" (2 * P0[0] - 5 * P1[0] + 4 * P2[0] - P3[0]) * t2 +\n",
" (-P0[0] + 3 * P1[0] - 3 * P2[0] + P3[0]) * t3)\n",
" \n",
" y = 0.5 * ((2 * P1[1]) +\n",
" (-P0[1] + P2[1]) * t +\n",
" (2 * P0[1] - 5 * P1[1] + 4 * P2[1] - P3[1]) * t2 +\n",
" (-P0[1] + 3 * P1[1] - 3 * P2[1] + P3[1]) * t3)\n",
" \n",
" points.append((x, y))\n",
" \n",
" return points\n",
"\n",
"def _catmull_rom_closed_loop(points, n_points=20):\n",
" spline_points = []\n",
" n = len(points)\n",
" \n",
" for i in range(n):\n",
" P0 = points[(i - 1) % n]\n",
" P1 = points[i]\n",
" P2 = points[(i + 1) % n]\n",
" P3 = points[(i + 2) % n]\n",
" spline_points += _catmull_rom_spline(P0, P1, P2, P3, n_points)\n",
" \n",
" return np.array(spline_points)\n",
"\n",
"def _create_mask_from_contour(spline_points:np, mask_size = (0, 0)):\n",
" smooth_curve_int = np.round(spline_points).astype(np.int32)\n",
" mask = np.zeros(mask_size, dtype=np.uint8)\n",
" \n",
" return cv2.fillPoly(mask, [smooth_curve_int], 1)\n",
"\n",
"\n",
"img = np.load(\"DataSet_Kpts_FullSize_seed_505\\dump\\Img0-4.npy\").astype(float)\n",
"data = json.load(open(\"DataSet_Kpts_FullSize_seed_505\\json\\Img0-4.json\"))\n",
"kpts = data[\"shapes\"][0][\"points\"]\n",
"\n",
"h, w, _ = img.shape\n",
"smood_perimeter = _catmull_rom_closed_loop(kpts, n_points=15)\n",
"roi_mask = _create_mask_from_contour(smood_perimeter, (h, w))\n",
"roi_mask = cv2.bitwise_and(img, img, mask=roi_mask)\n",
"x, y, w, h = cv2.boundingRect(np.round(smood_perimeter).astype(np.int32))\n",
"\n",
"\n",
"img = img[...,::-1].copy().astype(np.int32)\n",
"roi_mask = roi_mask[..., ::-1].copy().astype(np.int32)\n"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1500x800 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(1, 2, figsize=(15, 8))\n",
"\n",
"ax[0].imshow(img)\n",
"ax[0].axis(\"off\")\n",
"\n",
"ax[1].imshow(roi_mask[y : y + h, x : x + w])\n",
"ax[1].axis(\"off\")\n",
"\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import torch\n",
"\n",
"torch.tensor(0)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 800x800 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"\n",
"def catmull_rom_spline(P0, P1, P2, P3, n_points=20):\n",
" \"\"\"Calculate Catmull-Rom points between P1 and P2.\"\"\"\n",
" points = []\n",
" for t in np.linspace(0, 1, n_points):\n",
" # Catmull-Rom formula\n",
" t2 = t * t\n",
" t3 = t2 * t\n",
" x = 0.5 * ((2 * P1[0]) +\n",
" (-P0[0] + P2[0]) * t +\n",
" (2 * P0[0] - 5 * P1[0] + 4 * P2[0] - P3[0]) * t2 +\n",
" (-P0[0] + 3 * P1[0] - 3 * P2[0] + P3[0]) * t3)\n",
" y = 0.5 * ((2 * P1[1]) +\n",
" (-P0[1] + P2[1]) * t +\n",
" (2 * P0[1] - 5 * P1[1] + 4 * P2[1] - P3[1]) * t2 +\n",
" (-P0[1] + 3 * P1[1] - 3 * P2[1] + P3[1]) * t3)\n",
" points.append((x, y))\n",
" return points\n",
"\n",
"def catmull_rom_closed_loop(points, n_points=20):\n",
" \"\"\"Calculate Catmull-Rom spline for a closed loop.\"\"\"\n",
" spline_points = []\n",
" n = len(points)\n",
" for i in range(n):\n",
" P0 = points[(i - 1) % n]\n",
" P1 = points[i]\n",
" P2 = points[(i + 1) % n]\n",
" P3 = points[(i + 2) % n]\n",
" spline_points += catmull_rom_spline(P0, P1, P2, P3, n_points)\n",
" return np.array(spline_points)\n",
"\n",
"# Hexagon points\n",
"hexagon = np.array([\n",
"[ 290.62, 88.884],\n",
"[ 166.75, 107.33],\n",
"[ 45.791, 322.66],\n",
"[ 250.46, 383.89],\n",
"[ 498.39, 343.2],\n",
"[ 437.47, 109.45]\n",
"])\n",
"\n",
"# Generate smooth curve\n",
"smooth_curve = catmull_rom_closed_loop(hexagon, n_points=50)\n",
"smooth_curve = np.round(smooth_curve).astype(np.int32)\n",
"\n",
"# Plot\n",
"plt.figure(figsize=(8, 8))\n",
"plt.plot(hexagon[:, 0], hexagon[:, 1], 'o-', label='Original Hexagon')\n",
"plt.plot(smooth_curve[:, 0], smooth_curve[:, 1], '-', label='Smoothed Curve')\n",
"plt.legend()\n",
"plt.axis('equal')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([ 18.55134198, 10.27026975, -10.11832442, -0.80086758,\n",
" 0.5555785 ])"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import numpy as np\n",
"\n",
"# Given sample points (x values) and target values (t values) from the supplementary material\n",
"x_samples = np.array([-4, -1.0, 1.8180, 3.0, 4.9])\n",
"t_values = np.array([9, 0, 7.9413, -20, 52.2])\n",
"\n",
"# Construct the design matrix H using the given basis functions h(x) = [1, x, x^2, x^3, x^4]\n",
"H = np.vstack([\n",
" np.ones_like(x_samples), # h1(x) = 1\n",
" x_samples, # h2(x) = x\n",
" x_samples**2, # h3(x) = x^2\n",
" x_samples**3, # h4(x) = x^3\n",
" x_samples**4 # h5(x) = x^4\n",
"]).T\n",
"\n",
"# Regularization parameter (Weight Decay λ)\n",
"lambda_val = 0.1 # Example value, can be adjusted\n",
"\n",
"# Construct the regularization matrix (Lambda)\n",
"Lambda = lambda_val * np.eye(H.shape[1])\n",
"\n",
"# Compute the optimal weight vector w using Ridge Regression formula\n",
"w_optimal = np.linalg.inv(H.T @ H + Lambda) @ H.T @ t_values\n",
"\n",
"# Display the optimal weights\n",
"w_optimal\n"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([ 7.95347915, -0.17054755, 12.09663997, -33.75160103,\n",
" 53.62590857])"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from scipy.spatial.distance import cdist\n",
"\n",
"# Define RBF function (Gaussian kernel)\n",
"def rbf(x, centers, sigma=1.0):\n",
" return np.exp(-cdist(x.reshape(-1,1), centers.reshape(-1,1))**2 / (2 * sigma**2))\n",
"\n",
"# Use the sample points as RBF centers\n",
"centers = x_samples.copy()\n",
"\n",
"# Construct the design matrix H using RBFs\n",
"sigma = 1.5 # Example sigma value, can be adjusted\n",
"H_rbf = rbf(x_samples, centers, sigma)\n",
"\n",
"# Compute the optimal weights for RBF network\n",
"w_rbf = np.linalg.inv(H_rbf.T @ H_rbf + Lambda) @ H_rbf.T @ t_values\n",
"\n",
"# Display the optimal weights for RBF network\n",
"w_rbf\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#new"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from pathlib import Path\n",
"import torch\n",
"import cv2\n",
"import numpy as np\n",
"import Models as M\n",
"\n",
"import torchvision.transforms as T\n",
"from tqdm.notebook import tqdm\n",
"\n",
"def _removeBlackBorder(image):\n",
" image = np.array(image)\n",
" \n",
" copyImg = cv2.cvtColor(image.copy(), cv2.COLOR_BGR2HSV)\n",
" h = copyImg[:,:,0]\n",
" mask = np.ones(h.shape, dtype=np.uint8) * 255\n",
" th = (25, 175)\n",
" mask[(h > th[0]) & (h < th[1])] = 0\n",
" copyImg = cv2.cvtColor(copyImg, cv2.COLOR_HSV2BGR)\n",
" resROI = cv2.bitwise_and(copyImg, copyImg, mask=mask)\n",
" \n",
" image_gray = cv2.cvtColor(resROI, cv2.COLOR_BGR2GRAY)\n",
" _, thresh = cv2.threshold(image_gray, 0, 255, cv2.THRESH_BINARY)\n",
" kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (15, 15))\n",
" morph = cv2.morphologyEx(thresh, cv2.MORPH_OPEN, kernel)\n",
" contours = cv2.findContours(morph, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)\n",
" contours = contours[0] if len(contours) == 2 else contours[1]\n",
" bigCont = max(contours, key=cv2.contourArea)\n",
" x, y, w, h = cv2.boundingRect(bigCont)\n",
" crop = image[y : y + h, x : x + w]\n",
" return crop\n",
"\n",
" \n",
"\n",
"#RN50ModelToEval = M.RARP_NVB_ResNet50_VAN.load_from_checkpoint(\"./log_X12_VAN_Review/lightning_logs/version_17/checkpoints/RARP-epoch=29.ckpt\")\n",
"RN50ModelToEval = M.RARP_NVB_DINO_MultiTask.load_from_checkpoint(\"./log_X13_van_DINO/lightning_logs/version_33/checkpoints/RARP-epoch=32.ckpt\")\n",
"th = 0.6299"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"mean, std = ([30.38144216, 42.03988769, 97.8896116], [40.63141752, 44.26910074, 50.29294373])\n",
"transforms = T.Compose([\n",
" T.Resize((256,256), antialias=True, interpolation=T.InterpolationMode.BICUBIC),\n",
" T.CenterCrop(224),\n",
" T.Normalize(mean, std)\n",
"])\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"img = cv2.imread(str(Path(\"D:/Users/user/Documents/postata/RARP/Clasification/DataSet_big/NVB/187.tiff\")), cv2.IMREAD_COLOR)\n",
"img = _removeBlackBorder(img)\n",
"img = torch.Tensor(img)\n",
"img = img.permute(2, 0, 1).float()\n",
"\n",
"originalSize = img.shape[-2:]\n",
"originalImg = img\n",
"\n",
"img = transforms(img)\n",
"\n",
"img = img.repeat(1, 1, 1, 1)\n",
"\n",
"torch.set_float32_matmul_precision('high')\n",
"torch.backends.cudnn.deterministic = True\n",
"\n",
"device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n",
"\n",
"RN50ModelToEval.to(device)\n",
"RN50ModelToEval.eval()\n",
"\n",
"with torch.no_grad():\n",
" img = img.to(device)\n",
" \n",
" Doutput, _, _ = RN50ModelToEval(img)\n",
" \n",
" Doutput = Doutput.flatten()\n",
" \n",
" pred = torch.sigmoid(Doutput)\n",
" \n",
" print (pred)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from pytorch_grad_cam import GradCAM, GradCAMPlusPlus, EigenGradCAM\n",
"from pytorch_grad_cam.utils.model_targets import ClassifierOutputTarget\n",
"from pytorch_grad_cam.utils.image import show_cam_on_image\n",
"\n",
"targetL = [RN50ModelToEval.student.backbone.block4[-1], RN50ModelToEval.teacher_Features.backbone.block4[-1]]\n",
"\n",
"for param in RN50ModelToEval.teacher_Features.backbone.parameters():\n",
" param.requires_grad = True\n",
"\n",
"#CAM = EigenGradCAM(model=RN50ModelToEval, target_layers=targetL)\n",
"CAM = GradCAMPlusPlus(model=RN50ModelToEval, target_layers=targetL) \n",
"#CAM = GradCAM(model=RN50ModelToEval, target_layers=targetL)\n",
"tar = [ClassifierOutputTarget(0)]\n",
"\n",
"\n",
"gi = CAM(img, targets=tar)"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
"def Denorlalize (img:torch.Tensor, std, mean):\n",
" ImgNumpy = img.numpy().transpose((1, 2, 0))\n",
" ImgNumpy = np.clip((std * ImgNumpy + mean) / 255, 0, 1)\n",
" ImgNumpy = ImgNumpy[...,::-1].copy()\n",
" \n",
" return ImgNumpy"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"\n",
"\n",
"\n",
"rgb_img = Denorlalize(img.cpu()[0], std, mean)\n",
"oriImg = Denorlalize(originalImg.cpu(), [1, 1, 1], [0, 0, 0])\n",
"\n",
"grayscale_cam = gi[0]\n",
"\n",
"visualization = show_cam_on_image(rgb_img, grayscale_cam, use_rgb=True)\n",
"\n",
"smallH, smallW, _ = rgb_img.shape\n",
"x, y = (16, 16) #(256 - 224) // 2\n",
"over = np.ones((256, 256), dtype=np.uint8)\n",
"layer2 = np.zeros((224, 224), dtype=np.uint8)\n",
"over[y:y + smallH, x:x + smallW] = layer2\n",
"over = cv2.resize(over, (originalSize[1], originalSize[0]))\n",
"over = cv2.bitwise_and(oriImg, oriImg, mask=over)\n",
"\n",
"bkMask = cv2.inRange(over, (0,0,0), (0,0,0))\n",
"contours, _ = cv2.findContours(bkMask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)\n",
"\n",
"xBK, yBK, w, h = cv2.boundingRect(max(contours, key=cv2.contourArea)) \n",
"\n",
"layer2 = cv2.resize(visualization / 255, (w, h))\n",
"\n",
"over[yBK:yBK + h, xBK:xBK + w] = layer2\n",
"\n",
"fig, ax = plt.subplots(1, 2, figsize=(20, 8))\n",
"\n",
"ax[0].imshow(oriImg)\n",
"ax[0].set_title(\"Original Image\")\n",
"ax[0].axis(\"off\")\n",
"\n",
"ax[1].imshow(over)\n",
"ax[1].set_title(f\"CAM Prediction: {'NVB' if pred.item() > th else 'NO_NVB'}; Conf.: {pred.item():.4f}\")\n",
"ax[1].axis(\"off\")\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"from pathlib import Path\n",
"import torch\n",
"\n",
"LabelData = pd.read_excel(Path(\"./DataSet_Ando_All_no20Crop/MultiLabels.xlsx\"))\n",
"Dump = pd.read_csv(Path(\"./DataSet_AndoAll20_crop_seed_505/dump/dataset.csv\"))\n",
"Dump[\"raw_name\"] = \"Img0-\" + Dump[\"id\"].astype(str) + \".npy\""
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {},
"outputs": [],
"source": [
"clasiffier = torch.nn.Sequential(\n",
" torch.nn.Linear(1024, 128),\n",
" torch.nn.Dropout(0.4),\n",
" torch.nn.SiLU(True),\n",
" \n",
" torch.nn.Linear(128, 8),\n",
" torch.nn.Dropout(0.2),\n",
" torch.nn.SiLU(True),\n",
" \n",
" torch.nn.Linear(8, 3)\n",
" )"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"list(clasiffier.children())[-1].out_features"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"clasiffier[-1].out_features"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"LabelData"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"DumpCSV = Dump.drop(columns=[\"mean_1\", \"mean_2\", \"mean_3\", \"std_1\", \"std_2\", \"std_3\", \"path\", \"class\", \"label\"])\n",
"DumpCSV"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"outPut = pd.merge(LabelData, DumpCSV, on=\"name\", how=\"right\")\n",
"outPut"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"outList = [int(x) for x in str(outPut[outPut[\"raw_name\"] == \"Img0-15.npy\"][\"encode_l1\"].values[0]).split(\"|\")]\n",
"torch.tensor(outList)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"import torch\n",
"import pandas as pd\n",
"from pathlib import Path\n",
"import numpy as np\n",
"import Models as M\n",
"import torchvision.transforms as T\n",
"import cv2\n",
"import csv\n",
"\n",
"\n",
"DumpCSV = pd.read_csv(Path(\"./DataSet_AndoAll20_crop_seed_505/dump/dataset.csv\"), usecols=[\"id\", \"label\", \"class\", \"name\"])\n",
"extra_imgCSV = pd.read_csv(Path(\"./extra_imges_fold.csv\"))\n",
"arrFolds = np.load(Path(\"./DataSet_AndoAll20_crop_seed_505/dump/Folds.npy\"), allow_pickle=True)\n",
"base_dir = Path(\"./DataSet_crop/\")\n",
"out_File = Path(\"./outFile_report_LR.csv\")\n",
"list_Of_Test = [arrFolds[2], arrFolds[5], arrFolds[8], arrFolds[11], arrFolds[14]]\n",
"list_of_ckpt = [\n",
" {\n",
" \"model_pth\":Path(\"./log_XAblation_van_DINO/lightning_logs/version_0/checkpoints/RARP-epoch=20.ckpt\"),\n",
" \"th\":0.6190\n",
" },\n",
" {\n",
" \"model_pth\":Path(\"./log_XAblation_van_DINO/lightning_logs/version_1/checkpoints/RARP-epoch=32.ckpt\"),\n",
" \"th\":0.50\n",
" },\n",
" {\n",
" \"model_pth\":Path(\"./log_XAblation_van_DINO/lightning_logs/version_2/checkpoints/RARP-epoch=28.ckpt\"),\n",
" \"th\":0.7917\n",
" },\n",
" {\n",
" \"model_pth\":Path(\"./log_XAblation_van_DINO/lightning_logs/version_3/checkpoints/RARP-epoch=27.ckpt\"),\n",
" \"th\":0.4301\n",
" },\n",
" {\n",
" \"model_pth\":Path(\"./log_XAblation_van_DINO/lightning_logs/version_4/checkpoints/RARP-epoch=30.ckpt\"),\n",
" \"th\":0.6667\n",
" },\n",
"]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"class Eval_NVB_precervation():\n",
" def __init__(\n",
" self, \n",
" model_pth:Path, \n",
" th:float = 0.5,\n",
" mean = [30.38144216, 42.03988769, 97.8896116], \n",
" std=[40.63141752, 44.26910074, 50.29294373]\n",
" ):\n",
" torch.set_float32_matmul_precision('high')\n",
" torch.backends.cudnn.deterministic = True\n",
" self.device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n",
" \n",
" self.model = M.RARP_NVB_DINO_MultiTask.load_from_checkpoint(model_pth)\n",
" self.model.to(self.device)\n",
" self.model.eval()\n",
" \n",
" self.th = th\n",
" \n",
" self.transforms = T.Compose([\n",
" T.Resize((256,256), antialias=True, interpolation=T.InterpolationMode.BICUBIC),\n",
" T.CenterCrop(224),\n",
" T.Normalize(mean, std)\n",
" ])\n",
" \n",
" def __call__(self, img_pth:Path):\n",
" img = cv2.imread(str(img_pth), cv2.IMREAD_COLOR)\n",
" #img = _removeBlackBorder(img)\n",
" img = torch.tensor(img, device=self.device, dtype=torch.float32)\n",
" img = img.permute(2, 0, 1)\n",
" img = self.transforms(img)\n",
" \n",
" img = img.repeat(1, 1, 1, 1)\n",
" \n",
" with torch.no_grad():\n",
" pred, _, _ = self.model(img)\n",
" pred = torch.sigmoid(pred.flatten())\n",
" \n",
" return pred.item(), (pred.item() > self.th)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0\n",
"lr=0.0001, L1=None\n",
"1\n",
"lr=0.0001, L1=None\n",
"2\n",
"lr=0.0001, L1=None\n",
"3\n",
"lr=0.0001, L1=None\n",
"4\n",
"lr=0.0001, L1=None\n",
"Extra Test Image\n",
"0\n",
"lr=0.0001, L1=None\n",
"1\n",
"lr=0.0001, L1=None\n",
"2\n",
"lr=0.0001, L1=None\n",
"3\n",
"lr=0.0001, L1=None\n",
"4\n",
"lr=0.0001, L1=None\n"
]
}
],
"source": [
"with open(out_File, \"x\", newline='') as csvfile:\n",
" writerOBJ = csv.writer(csvfile)\n",
" writerOBJ.writerow([\"fold\", \"th\", \"case\", \"conf.\", \"NVB_Precervation\"])\n",
" for fold, test_set in enumerate(list_Of_Test):\n",
" print(fold)\n",
" predictor = Eval_NVB_precervation(list_of_ckpt[fold][\"model_pth\"], list_of_ckpt[fold][\"th\"])\n",
" for i, row in DumpCSV.loc[DumpCSV[\"id\"].isin(test_set)].iterrows():\n",
" matckImge = list(base_dir.rglob(row[\"name\"]))\n",
" if matckImge:\n",
" conf, pred = predictor(matckImge[0])\n",
" writerOBJ.writerow([fold, list_of_ckpt[fold][\"th\"], row[\"name\"], conf, pred * 1])\n",
" else:\n",
" raise Exception (f\"Not Found {row['name']}\")\n",
" print(\"Extra Test Image\")\n",
" for _, row in extra_imgCSV.iterrows():\n",
" if fold != int(row[\"fold\"]):\n",
" fold = int(row[\"fold\"])\n",
" print(row[\"fold\"])\n",
" predictor = Eval_NVB_precervation(list_of_ckpt[fold][\"model_pth\"], list_of_ckpt[fold][\"th\"])\n",
" \n",
" matckImge = list(base_dir.rglob(row[\"name\"]))\n",
" if matckImge:\n",
" conf, pred = predictor(matckImge[0])\n",
" writerOBJ.writerow([fold, list_of_ckpt[fold][\"th\"], row[\"name\"], conf, pred * 1])\n",
" else:\n",
" raise Exception (f\"Not Found {row['name']}\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[False, True]"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"t = [0.25, 0.75]\n",
"[p > 0.5 for p in t]"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"class Eval_NVB_precervation_RL():\n",
" def __init__(\n",
" self, \n",
" model_pth:Path, \n",
" th:float = 0.5,\n",
" mean = [30.38144216, 42.03988769, 97.8896116], \n",
" std=[40.63141752, 44.26910074, 50.29294373],\n",
" ):\n",
" torch.set_float32_matmul_precision('high')\n",
" torch.backends.cudnn.deterministic = True\n",
" self.device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n",
" \n",
" self.model = M.RARP_NVB_DINO_MultiTask.load_from_checkpoint(model_pth)\n",
" self.model.to(self.device)\n",
" self.model.eval()\n",
" \n",
" self.th = th\n",
" \n",
" self.transforms = T.Compose([\n",
" T.Resize((256,256), antialias=True, interpolation=T.InterpolationMode.BICUBIC),\n",
" T.CenterCrop(224),\n",
" T.Normalize(mean, std)\n",
" ])\n",
" \n",
" def _mask_LR(self, image:torch.Tensor, Left:bool = True):\n",
" halfImg = image[:, :, :512]\n",
" pad_zeros = torch.zeros_like(halfImg)\n",
" \n",
" if Left:\n",
" listImgs = [halfImg, pad_zeros]\n",
" else:\n",
" halfImg = image[:, :, 512:1024]\n",
" listImgs = [pad_zeros, halfImg]\n",
" \n",
" return torch.cat(listImgs, dim=2)\n",
" \n",
" def __call__(self, img_pth:Path):\n",
" img = cv2.imread(str(img_pth), cv2.IMREAD_COLOR)\n",
" #img = _removeBlackBorder(img)\n",
" img = torch.tensor(img, device=self.device, dtype=torch.float32)\n",
" img = img.permute(2, 0, 1)\n",
" img = self.transforms(img)\n",
" \n",
" LRImages = [self._mask_LR(img, True), self._mask_LR(img, False)]\n",
" LRPred = []\n",
" \n",
" with torch.no_grad():\n",
" for _img in LRImages:\n",
" _img = _img.repeat(1, 1, 1, 1)\n",
" pred, _, _ = self.model(_img)\n",
" pred = torch.sigmoid(pred.flatten())\n",
" LRPred.append(pred.item())\n",
" \n",
" return LRPred, [p > self.th for p in LRPred]"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0\n",
"lr=0.0001, L1=None\n",
"1\n",
"lr=0.0001, L1=None\n",
"2\n",
"lr=0.0001, L1=None\n",
"3\n",
"lr=0.0001, L1=None\n",
"4\n",
"lr=0.0001, L1=None\n",
"Extra Test Image\n",
"0\n",
"lr=0.0001, L1=None\n",
"1\n",
"lr=0.0001, L1=None\n",
"2\n",
"lr=0.0001, L1=None\n",
"3\n",
"lr=0.0001, L1=None\n",
"4\n",
"lr=0.0001, L1=None\n"
]
}
],
"source": [
"with open(out_File, \"x\", newline='') as csvfile:\n",
" writerOBJ = csv.writer(csvfile)\n",
" writerOBJ.writerow([\"fold\", \"th\", \"case\", \"conf. L\", \"conf. R\", \"NVB_L\", \"NVB_R\", \"Extra\"])\n",
" for fold, test_set in enumerate(list_Of_Test):\n",
" print(fold)\n",
" predictor = Eval_NVB_precervation_RL(list_of_ckpt[fold][\"model_pth\"], list_of_ckpt[fold][\"th\"])\n",
" for i, row in DumpCSV.loc[DumpCSV[\"id\"].isin(test_set)].iterrows():\n",
" matckImge = list(base_dir.rglob(row[\"name\"]))\n",
" if matckImge:\n",
" conf, pred = predictor(matckImge[0])\n",
" writerOBJ.writerow([fold, list_of_ckpt[fold][\"th\"], row[\"name\"], conf[0], conf[1], pred[0] * 1, pred[1] * 1, 0])\n",
" else:\n",
" raise Exception (f\"Not Found {row['name']}\")\n",
" print(\"Extra Test Image\")\n",
" for _, row in extra_imgCSV.iterrows():\n",
" if fold != int(row[\"fold\"]):\n",
" fold = int(row[\"fold\"])\n",
" print(row[\"fold\"])\n",
" predictor = Eval_NVB_precervation_RL(list_of_ckpt[fold][\"model_pth\"], list_of_ckpt[fold][\"th\"])\n",
" \n",
" matckImge = list(base_dir.rglob(row[\"name\"]))\n",
" if matckImge:\n",
" conf, pred = predictor(matckImge[0])\n",
" writerOBJ.writerow([fold, list_of_ckpt[fold][\"th\"], row[\"name\"], conf[0], conf[1], pred[0] * 1, pred[1] * 1, 1])\n",
" else:\n",
" raise Exception (f\"Not Found {row['name']}\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "pyRARP",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}