diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..51194ad
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,134 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+.python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+
+.vscode/
+.mypy_cache/
+.idea/
diff --git a/EsoMovieConverter.py b/EsoMovieConverter.py
new file mode 100644
index 0000000..4c370fe
--- /dev/null
+++ b/EsoMovieConverter.py
@@ -0,0 +1,19 @@
+import numpy as np
+import cv2
+
+# 食道の映像を前処理することが多いような気がするので作ったクラス
+# Undistort用のparamを同ディレクトリに配置する必要あり
+class EsoMovieConverter:
+
+    def __init__(self):
+        self.dist_coeffs = np.load('params/dist_coeffs.npy')
+        self.intrinsics_scaled = np.array([[221.8766, 0, 232.2143], [0, 217.4069, 173.3776], [0, 0, 1]])
+        self.kernel = np.ones((9, 9), np.uint8)
+
+    def __call__(self, eso_frame):
+        eso_frame = eso_frame[32:989, 323:1599, :]
+        # eliminate interrace
+        eso_frame = eso_frame[::2, ::2, :]
+        eso_frame = cv2.resize(eso_frame, (480, 352), interpolation=cv2.INTER_LINEAR)
+        eso_frame = cv2.undistort(eso_frame, self.intrinsics_scaled, self.dist_coeffs)
+        return eso_frame
diff --git a/README.md b/README.md
index 458bc0d..e38c5f6 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,21 @@
-DensePredictionTransformers
-===============
+# DensePredictionTransformers
 
-DPT_Largeによって画像から深度を取得するアプリケーション
\ No newline at end of file
+DPT_Large によって画像から深度を取得するアプリケーション
+
+<br>
+
+---
+
+## 動作環境
+
+python 3.8.12  
+torch==1.10.0  
+opencv-python==4.5.4.60
+
+## 準備
+
+- main.py 中の VideoCapture 内の引数を深度予測したい動画にする．
+
+## 稼働方法
+
+`python main.py`
diff --git a/main.py b/main.py
new file mode 100644
index 0000000..b7248b0
--- /dev/null
+++ b/main.py
@@ -0,0 +1,78 @@
+import cv2
+import torch
+import urllib.request
+import matplotlib.pyplot as plt
+import numpy as np
+from PIL import Image
+import queue
+
+from EsoMovieConverter import EsoMovieConverter
+
+cap = cv2.VideoCapture(r'D:\Deep_Learning\MonoDepth2\esophagus\movies\trimed\0.mp4')
+# cap = cv2.VideoCapture(1)
+eso_movie_converter = EsoMovieConverter()
+
+fps = int(cap.get(cv2.CAP_PROP_FPS))
+w = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
+h = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
+fourcc = cv2.VideoWriter_fourcc('m', 'p', '4', 'v')
+video_writer = cv2.VideoWriter('eso0_disp.mp4', fourcc, fps, (480, 352))
+
+model_type = "DPT_Large"  # MiDaS v3 - Large     (highest accuracy, slowest inference speed)
+# model_type = "DPT_Hybrid"   # MiDaS v3 - Hybrid    (medium accuracy, medium inference speed)
+# model_type = "MiDaS_small"  # MiDaS v2.1 - Small   (lowest accuracy, highest inference speed)
+midas = torch.hub.load("intel-isl/MiDaS", model_type)
+device = torch.device("cuda") if torch.cuda.is_available() else torch.device("cpu")
+midas.to(device)
+midas.eval()
+midas_transforms = torch.hub.load("intel-isl/MiDaS", "transforms")
+if model_type == "DPT_Large" or model_type == "DPT_Hybrid":
+    transform = midas_transforms.dpt_transform
+else:
+    transform = midas_transforms.small_transform
+
+
+def inference(img):
+    img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
+    input_batch = transform(img).to(device)
+    with torch.no_grad():
+        prediction = midas(input_batch)
+        prediction = torch.nn.functional.interpolate(
+            prediction.unsqueeze(1),
+            size=img.shape[:2],
+            mode="bicubic",
+            align_corners=False,
+        ).squeeze()
+    output = prediction.cpu().numpy()
+    formatted = (output * 255 / np.max(output)).astype('uint8')
+    return formatted
+
+
+prev_img1 = None
+prev_img2 = None
+prev_img3 = None
+prev_img4 = None
+while True:
+    ret, frame = cap.read()
+    if not ret:
+        break
+
+    frame = eso_movie_converter(frame)
+    cv2.imshow("input", frame)
+    out = inference(frame)
+    if (prev_img1 is not None) and (prev_img2 is not None) and (prev_img3 is not None) and (prev_img4 is not None):
+        show_img = out / 5 + prev_img1 / 5 + prev_img2 / 5 + prev_img3 / 5 + prev_img4 / 5
+        show_img = show_img.astype("uint8")
+        cv2.imshow("out", show_img)
+        video_writer.write(cv2.cvtColor(show_img[:, :, np.newaxis], cv2.COLOR_GRAY2RGB))
+    cv2.waitKey(1)
+    if prev_img3 is not None:
+        prev_img4 = prev_img3.copy()
+    if prev_img2 is not None:
+        prev_img3 = prev_img2.copy()
+    if prev_img1 is not None:
+        prev_img2 = prev_img1.copy()
+    prev_img1 = out.copy()
+
+cap.release()
+video_writer.release()
diff --git a/params/dist_coeffs.npy b/params/dist_coeffs.npy
new file mode 100644
index 0000000..e76aaa1
--- /dev/null
+++ b/params/dist_coeffs.npy
Binary files differ
diff --git a/params/intrinsics_scaled.npy b/params/intrinsics_scaled.npy
new file mode 100644
index 0000000..3c4e6a2
--- /dev/null
+++ b/params/intrinsics_scaled.npy
Binary files differ
diff --git a/params/intrinsics_scaled2.npy b/params/intrinsics_scaled2.npy
new file mode 100644
index 0000000..4482ebe
--- /dev/null
+++ b/params/intrinsics_scaled2.npy
Binary files differ
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..9d84e25
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,29 @@
+[tool.isort]
+profile = "black"
+line_length = 120
+skip_glob = "*/migrations/*.py"
+
+[tool.black]
+line-length = 120
+include = '\.pyi?$'
+extend-exclude = '''
+/(
+  | \.git
+  | templates
+  | migrations
+)/
+'''
+
+[tool.flake8]
+max-line-length = 120
+extend-ignore = "E203,W503"
+
+
+[tool.mypy]
+follow-imports = "normal"
+ignore_missing_imports = true
+show_column_numbers = true
+pretty = false
+disallow_untyped_calls = true
+disallow_untyped_defs = true
+
diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000..761399a
--- /dev/null
+++ b/requirements.txt
@@ -0,0 +1,326 @@
+addict @ file:///home/conda/feedstock_root/build_artifacts/addict_1636818143388/work
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+backcall @ file:///home/ktietz/src/ci/backcall_1611930011877/work
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+conda-token @ file:///tmp/build/80754af9/conda-token_1620076980546/work
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