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Runtime error
Runtime error
sfmig
commited on
Commit
·
17145cb
1
Parent(s):
e0235fd
fixes
Browse files- app.py +8 -3
- requirements.txt +104 -131
app.py
CHANGED
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@@ -176,12 +176,15 @@ model = DetrForSegmentation.from_pretrained('facebook/detr-resnet-50-panoptic')
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input = gr.inputs.Image()
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output = gr.outputs.Image()
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def predict_animal_mask(
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inputs = feature_extractor(images=image, return_tensors="pt") #pt=Pytorch, tf=TensorFlow
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outputs = model(**inputs)
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logits = outputs.logits
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bboxes = outputs.pred_boxes
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masks = outputs.pred_masks
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# postprocess the image
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label_per_pixel = torch.argmax(masks.squeeze(),dim=0).detach().numpy()
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@@ -193,6 +196,8 @@ def predict_animal_mask(image):
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pred_img = np.array(image.convert('RGB'))*0.5 + color_mask*0.5
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pred_img = pred_img.astype(np.uint8)
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####################################################
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# Create user interface and launch
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input = gr.inputs.Image()
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output = gr.outputs.Image()
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def predict_animal_mask(im):
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image = Image.fromarray(im) # im: numpy array 3d: 480, 640, 3: to PIL Image
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image = image.resize((200,200)) # PIL image # could I upsample output instead? better?
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inputs = feature_extractor(images=image, return_tensors="pt") #pt=Pytorch, tf=TensorFlow
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outputs = model(**inputs)
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logits = outputs.logits # torch.Size([1, 100, 251])
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bboxes = outputs.pred_boxes
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masks = outputs.pred_masks # torch.Size([1, 100, 200, 200])
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# postprocess the image
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label_per_pixel = torch.argmax(masks.squeeze(),dim=0).detach().numpy()
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pred_img = np.array(image.convert('RGB'))*0.5 + color_mask*0.5
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pred_img = pred_img.astype(np.uint8)
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return pred_img
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####################################################
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# Create user interface and launch
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requirements.txt
CHANGED
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@@ -1,131 +1,104 @@
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tensorboard=2.9.1=pypi_0
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tensorboard-data-server=0.6.1=pypi_0
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tensorboard-plugin-wit=1.8.1=pypi_0
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tensorflow=2.9.1=pypi_0
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tensorflow-estimator=2.9.0=pypi_0
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tensorflow-io-gcs-filesystem=0.26.0=pypi_0
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termcolor=1.1.0=pypi_0
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timm=0.5.4=pypi_0
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tk=8.6.12=h5d9f67b_0
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tokenizers=0.12.1=pypi_0
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torch=1.12.0=pypi_0
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torchaudio=0.12.0=pypi_0
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torchvision=0.13.0=pypi_0
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tqdm=4.64.0=pypi_0
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transformers=4.20.1=pypi_0
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typing-extensions=4.3.0=pypi_0
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uc-micro-py=1.0.1=pypi_0
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urllib3=1.26.9=pypi_0
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uvicorn=0.18.2=pypi_0
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werkzeug=2.1.2=pypi_0
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wheel=0.37.1=pyhd3eb1b0_0
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wrapt=1.14.1=pypi_0
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xz=5.2.5=hca72f7f_1
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yarl=1.7.2=pypi_0
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zipp=3.8.0=pypi_0
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zlib=1.2.12=h4dc903c_2
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zstd=1.5.2=hcb37349_0
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absl-py==1.1.0
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aiohttp==3.8.1
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aiosignal==1.2.0
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analytics-python==1.4.0
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anyio==3.6.1
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astunparse==1.6.3
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async-timeout==4.0.2
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asynctest==0.13.0
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attrs==21.4.0
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backoff==1.10.0
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bcrypt==3.2.2
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cachetools==5.2.0
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certifi @ file:///private/var/folders/sy/f16zz6x50xz3113nwtb9bvq00000gp/T/abs_83242e7e-f82d-4a71-8ef2-9d71d212d249gu_wxmeq/croots/recipe/certifi_1655968827803/work/certifi
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cffi==1.15.1
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charset-normalizer==2.1.0
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click==8.1.3
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cryptography==37.0.2
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cycler==0.11.0
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fastapi==0.78.0
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ffmpy==0.3.0
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filelock==3.7.1
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flatbuffers==1.12
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fonttools==4.33.3
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frozenlist==1.3.0
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fsspec==2022.5.0
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gast==0.4.0
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google-auth==2.9.0
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google-auth-oauthlib==0.4.6
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google-pasta==0.2.0
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gradio==3.0.24
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grpcio==1.47.0
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h11==0.12.0
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h5py==3.7.0
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httpcore==0.15.0
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httpx==0.23.0
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huggingface-hub==0.8.1
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idna==3.3
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importlib-metadata==4.12.0
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Jinja2==3.1.2
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keras==2.9.0
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Keras-Preprocessing==1.1.2
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kiwisolver==1.4.3
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libclang==14.0.1
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linkify-it-py==1.0.3
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Markdown==3.3.7
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markdown-it-py==2.1.0
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MarkupSafe==2.1.1
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matplotlib==3.5.2
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mdit-py-plugins==0.3.0
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mdurl==0.1.1
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monotonic==1.6
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multidict==6.0.2
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numpy==1.21.6
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oauthlib==3.2.0
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olefile==0.46
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opt-einsum==3.3.0
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orjson==3.7.6
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packaging==21.3
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pandas==1.3.5
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paramiko==2.11.0
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Pillow @ file:///Users/runner/miniforge3/conda-bld/pillow_1602493105252/work
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protobuf==3.19.4
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pyasn1==0.4.8
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pyasn1-modules==0.2.8
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pycparser==2.21
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pycryptodome==3.15.0
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pydantic==1.9.1
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pydub==0.25.1
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PyNaCl==1.5.0
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pyparsing==3.0.9
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python-dateutil==2.8.2
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python-multipart==0.0.5
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pytz==2022.1
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PyYAML==6.0
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regex==2022.6.2
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requests==2.28.1
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requests-oauthlib==1.3.1
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rfc3986==1.5.0
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rsa==4.8
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six==1.16.0
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sniffio==1.2.0
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starlette==0.19.1
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tensorboard==2.9.1
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tensorboard-data-server==0.6.1
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tensorboard-plugin-wit==1.8.1
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tensorflow==2.9.1
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tensorflow-estimator==2.9.0
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tensorflow-io-gcs-filesystem==0.26.0
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termcolor==1.1.0
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timm==0.5.4
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tokenizers==0.12.1
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torch==1.12.0
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torchaudio==0.12.0
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torchvision==0.13.0
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tqdm==4.64.0
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transformers==4.20.1
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typing_extensions==4.3.0
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uc-micro-py==1.0.1
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urllib3==1.26.9
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uvicorn==0.18.2
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Werkzeug==2.1.2
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wrapt==1.14.1
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yarl==1.7.2
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zipp==3.8.0
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