https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fb2c6c74-97ee-4cda-fda4-8ea23f892200/width=707/8651cacc-5138-4053-e11a-a170817ffd00.jpeg

Downloading https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fb2c6c74-97ee-4cda-fda4-8ea23f892200/width=707/8651cacc-5138-4053-e11a-a170817ffd00.jpeg to 8651cacc-5138-4053-e11a-a170817ffd00.jpeg...
1.17MB [00:00, 15.6MB/s]
image 1/1 /workspace/8651cacc-5138-4053-e11a-a170817ffd00.jpeg: 800x576 1 adult, 79.3ms
Speed: 3.6ms preprocess, 79.3ms inference, 1.8ms postprocess per image at shape (1, 3, 800, 800)
https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fb2c6c74-97ee-4cda-fda4-8ea23f892200/width=707/8651cacc-5138-4053-e11a-a170817ffd00.jpeg

Found https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fb2c6c74-97ee-4cda-fda4-8ea23f892200/width=707/8651cacc-5138-4053-e11a-a170817ffd00.jpeg locally at 8651cacc-5138-4053-e11a-a170817ffd00.jpeg
image 1/1 /workspace/8651cacc-5138-4053-e11a-a170817ffd00.jpeg: 800x576 1 adult, 6.0ms
Speed: 2.6ms preprocess, 6.0ms inference, 1.3ms postprocess per image at shape (1, 3, 800, 800)
https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fb2c6c74-97ee-4cda-fda4-8ea23f892200/width=707/8651cacc-5138-4053-e11a-a170817ffd00.jpeg

Found https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fb2c6c74-97ee-4cda-fda4-8ea23f892200/width=707/8651cacc-5138-4053-e11a-a170817ffd00.jpeg locally at 8651cacc-5138-4053-e11a-a170817ffd00.jpeg
image 1/1 /workspace/8651cacc-5138-4053-e11a-a170817ffd00.jpeg: 800x576 1 adult, 6.2ms
Speed: 2.6ms preprocess, 6.2ms inference, 1.3ms postprocess per image at shape (1, 3, 800, 800)
https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fb2c6c74-97ee-4cda-fda4-8ea23f892200/width=707/8651cacc-5138-4053-e11a-a170817ffd00.jpeg

Found https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fb2c6c74-97ee-4cda-fda4-8ea23f892200/width=707/8651cacc-5138-4053-e11a-a170817ffd00.jpeg locally at 8651cacc-5138-4053-e11a-a170817ffd00.jpeg
image 1/1 /workspace/8651cacc-5138-4053-e11a-a170817ffd00.jpeg: 800x576 1 adult, 6.3ms
Speed: 2.3ms preprocess, 6.3ms inference, 1.3ms postprocess per image at shape (1, 3, 800, 800)
https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fb2c6c74-97ee-4cda-fda4-8ea23f892200/width=707/8651cacc-5138-4053-e11a-a170817ffd00.jpeg

Found https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fb2c6c74-97ee-4cda-fda4-8ea23f892200/width=707/8651cacc-5138-4053-e11a-a170817ffd00.jpeg locally at 8651cacc-5138-4053-e11a-a170817ffd00.jpeg
image 1/1 /workspace/8651cacc-5138-4053-e11a-a170817ffd00.jpeg: 800x576 1 adult, 6.1ms
Speed: 2.3ms preprocess, 6.1ms inference, 1.3ms postprocess per image at shape (1, 3, 800, 800)
https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fb2c6c74-97ee-4cda-fda4-8ea23f892200/width=707/8651cacc-5138-4053-e11a-a170817ffd00.jpeg

Found https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fb2c6c74-97ee-4cda-fda4-8ea23f892200/width=707/8651cacc-5138-4053-e11a-a170817ffd00.jpeg locally at 8651cacc-5138-4053-e11a-a170817ffd00.jpeg
image 1/1 /workspace/8651cacc-5138-4053-e11a-a170817ffd00.jpeg: 800x576 1 adult, 6.6ms
Speed: 8.0ms preprocess, 6.6ms inference, 1.4ms postprocess per image at shape (1, 3, 800, 800)
https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fb2c6c74-97ee-4cda-fda4-8ea23f892200/width=707/8651cacc-5138-4053-e11a-a170817ffd00.jpeg

Found https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fb2c6c74-97ee-4cda-fda4-8ea23f892200/width=707/8651cacc-5138-4053-e11a-a170817ffd00.jpeg locally at 8651cacc-5138-4053-e11a-a170817ffd00.jpeg
image 1/1 /workspace/8651cacc-5138-4053-e11a-a170817ffd00.jpeg: 800x576 1 adult, 6.7ms
Speed: 2.4ms preprocess, 6.7ms inference, 1.5ms postprocess per image at shape (1, 3, 800, 800)
https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fb2c6c74-97ee-4cda-fda4-8ea23f892200/width=707/8651cacc-5138-4053-e11a-a170817ffd00.jpeg

Found https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fb2c6c74-97ee-4cda-fda4-8ea23f892200/width=707/8651cacc-5138-4053-e11a-a170817ffd00.jpeg locally at 8651cacc-5138-4053-e11a-a170817ffd00.jpeg
image 1/1 /workspace/8651cacc-5138-4053-e11a-a170817ffd00.jpeg: 800x576 1 adult, 6.0ms
Speed: 2.3ms preprocess, 6.0ms inference, 1.3ms postprocess per image at shape (1, 3, 800, 800)
https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fb2c6c74-97ee-4cda-fda4-8ea23f892200/width=707/8651cacc-5138-4053-e11a-a170817ffd00.jpeg

Found https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fb2c6c74-97ee-4cda-fda4-8ea23f892200/width=707/8651cacc-5138-4053-e11a-a170817ffd00.jpeg locally at 8651cacc-5138-4053-e11a-a170817ffd00.jpeg
image 1/1 /workspace/8651cacc-5138-4053-e11a-a170817ffd00.jpeg: 800x576 1 adult, 6.6ms
Speed: 2.4ms preprocess, 6.6ms inference, 1.5ms postprocess per image at shape (1, 3, 800, 800)
https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fb2c6c74-97ee-4cda-fda4-8ea23f892200/width=707/8651cacc-5138-4053-e11a-a170817ffd00.jpeg

Found https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fb2c6c74-97ee-4cda-fda4-8ea23f892200/width=707/8651cacc-5138-4053-e11a-a170817ffd00.jpeg locally at 8651cacc-5138-4053-e11a-a170817ffd00.jpeg
image 1/1 /workspace/8651cacc-5138-4053-e11a-a170817ffd00.jpeg: 800x576 1 adult, 6.2ms
Speed: 8.5ms preprocess, 6.2ms inference, 1.3ms postprocess per image at shape (1, 3, 800, 800)
https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg

https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg
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https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg

Downloading https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg to 68a31cb7cc50b355a63624176e095c250cb39e6c.jpg...
https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg

https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg
Downloading https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg to 68a31cb7cc50b355a63624176e095c250cb39e6c.jpg...


Downloading https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg to 68a31cb7cc50b355a63624176e095c250cb39e6c.jpg...
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https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg
Downloading https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg to 68a31cb7cc50b355a63624176e095c250cb39e6c.jpg...
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Downloading https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg to 68a31cb7cc50b355a63624176e095c250cb39e6c.jpg...
https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg
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https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg


https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg

https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg

https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg
Downloading https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg to 68a31cb7cc50b355a63624176e095c250cb39e6c.jpg...
https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg

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https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg

Downloading https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg to 68a31cb7cc50b355a63624176e095c250cb39e6c.jpg...



Downloading https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg to 68a31cb7cc50b355a63624176e095c250cb39e6c.jpg...

Downloading https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg to 68a31cb7cc50b355a63624176e095c250cb39e6c.jpg...

Downloading https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg to 68a31cb7cc50b355a63624176e095c250cb39e6c.jpg...
Downloading https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg to 68a31cb7cc50b355a63624176e095c250cb39e6c.jpg...

Downloading https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg to 68a31cb7cc50b355a63624176e095c250cb39e6c.jpg...

Downloading https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg to 68a31cb7cc50b355a63624176e095c250cb39e6c.jpg...

Downloading https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg to 68a31cb7cc50b355a63624176e095c250cb39e6c.jpg...



Downloading https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg to 68a31cb7cc50b355a63624176e095c250cb39e6c.jpg...

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Downloading https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg to 68a31cb7cc50b355a63624176e095c250cb39e6c.jpg...
Downloading https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg to 68a31cb7cc50b355a63624176e095c250cb39e6c.jpg...
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Downloading https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg to 68a31cb7cc50b355a63624176e095c250cb39e6c.jpg...
Downloading https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg to 68a31cb7cc50b355a63624176e095c250cb39e6c.jpg...
Downloading https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg to 68a31cb7cc50b355a63624176e095c250cb39e6c.jpg...
Downloading https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg to 68a31cb7cc50b355a63624176e095c250cb39e6c.jpg...
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Downloading https://cdn.discordapp.com/attachments/1096822099345145969/1117198390585987092/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg to 68a31cb7cc50b355a63624176e095c250cb39e6c.jpg...

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100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 11.4MB/s]
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 11.5ms
Speed: 11.4ms preprocess, 11.5ms inference, 1.9ms postprocess per image at shape (1, 3, 800, 800)
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 8.82MB/s]
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 7.2ms
Speed: 6.5ms preprocess, 7.2ms inference, 1.8ms postprocess per image at shape (1, 3, 800, 800)
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 11.0MB/s]
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 9.3ms
Speed: 6.1ms preprocess, 9.3ms inference, 3.6ms postprocess per image at shape (1, 3, 800, 800)
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 12.7MB/s]
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 6.8ms
Speed: 6.8ms preprocess, 6.8ms inference, 1.5ms postprocess per image at shape (1, 3, 800, 800)
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 11.2MB/s]
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 6.3ms
Speed: 4.1ms preprocess, 6.3ms inference, 1.4ms postprocess per image at shape (1, 3, 800, 800)
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 13.7MB/s]
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 6.2ms
Speed: 6.2ms preprocess, 6.2ms inference, 1.3ms postprocess per image at shape (1, 3, 800, 800)
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 12.8MB/s]
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 11.3MB/s]
Traceback (most recent call last):
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 2213, in __call__
    return self.wsgi_app(environ, start_response)
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 2193, in wsgi_app
    response = self.handle_exception(e)
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 2190, in wsgi_app
    response = self.full_dispatch_request()
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 1486, in full_dispatch_request
    rv = self.handle_user_exception(e)
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 1484, in full_dispatch_request
    rv = self.dispatch_request()
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 1469, in dispatch_request
    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)
  File "/workspace/main.py", line 45, in home
    "predictions": predict_single_image(image_url),
  File "/workspace/main.py", line 20, in predict_single_image
    results = model(image_url)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/engine/model.py", line 111, in __call__
    return self.predict(source, stream, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/engine/model.py", line 253, in predict
    return self.predictor.predict_cli(source=source) if is_cli else self.predictor(source=source, stream=stream)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/engine/predictor.py", line 184, in __call__
    return list(self.stream_inference(source, model))  # merge list of Result into one
  File "/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py", line 35, in generator_context
    response = gen.send(None)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/engine/predictor.py", line 244, in stream_inference
    self.results = self.postprocess(preds, im, im0s)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/v8/detect/predict.py", line 26, in postprocess
    path = self.batch[0]
TypeError: 'NoneType' object is not subscriptable
  0%|                                                                                                                     | 0.00/46.7k [00:00<?, ?B/s]image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 14.8ms
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 8.36MB/s]Speed: 7.1ms preprocess, 14.8ms inference, 2.7ms postprocess per image at shape (1, 3, 800, 800)

  0%|                                                                                                                     | 0.00/46.7k [00:00<?, ?B/s]image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 10.6ms
Speed: 5.5ms preprocess, 10.6ms inference, 1.4ms postprocess per image at shape (1, 3, 800, 800)
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 2.63MB/s]
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 9.28MB/s]
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 5.63MB/s]
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 14.1ms
Speed: 5.9ms preprocess, 14.1ms inference, 3.9ms postprocess per image at shape (1, 3, 800, 800)
Traceback (most recent call last):
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 2213, in __call__
    return self.wsgi_app(environ, start_response)
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 2193, in wsgi_app
    response = self.handle_exception(e)
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 2190, in wsgi_app
    response = self.full_dispatch_request()
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 1486, in full_dispatch_request
    rv = self.handle_user_exception(e)
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 1484, in full_dispatch_request
    rv = self.dispatch_request()
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 1469, in dispatch_request
    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)
  File "/workspace/main.py", line 45, in home
    "predictions": predict_single_image(image_url),
  File "/workspace/main.py", line 20, in predict_single_image
    results = model(image_url)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/engine/model.py", line 111, in __call__
    return self.predict(source, stream, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/engine/model.py", line 253, in predict
    return self.predictor.predict_cli(source=source) if is_cli else self.predictor(source=source, stream=stream)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/engine/predictor.py", line 184, in __call__
    return list(self.stream_inference(source, model))  # merge list of Result into one
  File "/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py", line 35, in generator_context
    response = gen.send(None)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/engine/predictor.py", line 244, in stream_inference
    self.results = self.postprocess(preds, im, im0s)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/v8/detect/predict.py", line 26, in postprocess
    path = self.batch[0]
TypeError: 'NoneType' object is not subscriptable
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 6.5ms
Speed: 7.1ms preprocess, 6.5ms inference, 1.4ms postprocess per image at shape (1, 3, 800, 800)
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 11.5MB/s]
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 6.7ms
Speed: 5.6ms preprocess, 6.7ms inference, 1.4ms postprocess per image at shape (1, 3, 800, 800)
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 11.5MB/s]
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 11.5MB/s]
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 10.4MB/s]
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 12.6MB/s]
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 10.6MB/s]
  0%|                                                                                                                     | 0.00/46.7k [00:00<?, ?B/s]image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 37.6ms
Speed: 8.4ms preprocess, 37.6ms inference, 15.6ms postprocess per image at shape (1, 3, 800, 800)
                                                                                                                                                     Traceback (most recent call last):                                                                                         | 0.00/46.7k [00:00<?, ?B/s]
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 2213, in __call__                                     | 0.00/46.7k [00:00<?, ?B/s]
    return self.wsgi_app(environ, start_response)
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 2193, in wsgi_app
    response = self.handle_exception(e)
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 2190, in wsgi_app
    response = self.full_dispatch_request()
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 1486, in full_dispatch_request
    rv = self.handle_user_exception(e)
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 1484, in full_dispatch_request
    rv = self.dispatch_request()
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 1469, in dispatch_request
    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)
  File "/workspace/main.py", line 45, in home
    "predictions": predict_single_image(image_url),
  File "/workspace/main.py", line 20, in predict_single_image
    results = model(image_url)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/engine/model.py", line 111, in __call__
    return self.predict(source, stream, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/engine/model.py", line 253, in predict
    return self.predictor.predict_cli(source=source) if is_cli else self.predictor(source=source, stream=stream)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/engine/predictor.py", line 184, in __call__
    return list(self.stream_inference(source, model))  # merge list of Result into one
  File "/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py", line 35, in generator_context
    response = gen.send(None)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/engine/predictor.py", line 244, in stream_inference
    self.results = self.postprocess(preds, im, im0s)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/v8/detect/predict.py", line 26, in postprocess
    path = self.batch[0]
TypeError: 'NoneType' object is not subscriptable
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 2.62MB/s]
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 4.56MB/s]
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 2.48MB/s]
  0%|                                                                                                                     | 0.00/46.7k [00:00<?, ?B/simage 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 58.7ms                                 | 0.00/46.7k [00:00<?, ?B/s]
Speed: 6.0ms preprocess, 58.7ms inference, 18.8ms postprocess per image at shape (1, 3, 800, 800)
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 2.59MB/s]
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 2.51MB/s]
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 95.1ms
Speed: 4.9ms preprocess, 95.1ms inference, 31.2ms postprocess per image at shape (1, 3, 800, 800)
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 2.82MB/s]
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 1.80MB/s]
Traceback (most recent call last):
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 2213, in __call__
    return self.wsgi_app(environ, start_response)
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 2193, in wsgi_app
    response = self.handle_exception(e)
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 2190, in wsgi_app
    response = self.full_dispatch_request()
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 1486, in full_dispatch_request
    rv = self.handle_user_exception(e)
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 1484, in full_dispatch_request
    rv = self.dispatch_request()
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 1469, in dispatch_request
    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)
  File "/workspace/main.py", line 45, in home
    "predictions": predict_single_image(image_url),
  File "/workspace/main.py", line 20, in predict_single_image
    results = model(image_url)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/engine/model.py", line 111, in __call__
    return self.predict(source, stream, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/engine/model.py", line 253, in predict
    return self.predictor.predict_cli(source=source) if is_cli else self.predictor(source=source, stream=stream)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/engine/predictor.py", line 184, in __call__
    return list(self.stream_inference(source, model))  # merge list of Result into one
  File "/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py", line 35, in generator_context
    response = gen.send(None)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/engine/predictor.py", line 244, in stream_inference
    self.results = self.postprocess(preds, im, im0s)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/v8/detect/predict.py", line 26, in postprocess
    path = self.batch[0]
TypeError: 'NoneType' object is not subscriptable
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 3.36MB/s]
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 2.55MB/s]
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 124.2ms
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 1.86MB/s]
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 1.95MB/s]
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 133.2ms
  0%|                                                                                                                     | 0.00/46.7k [00:00<?, ?B/simage 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 127.3ms                                | 0.00/46.7k [00:00<?, ?B/s]
Speed: 8.5ms preprocess, 127.3ms inference, 69.3ms postprocess per image at shape (1, 3, 800, 800)                        | 0.00/46.7k [00:00<?, ?B/s]
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 1.55MB/s]
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 1.32MB/s]
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 1.15MB/s]
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 1.73MB/s]
  0%|                                                                                                                     | 0.00/46.7k [00:00<?, ?B/sTraceback (most recent call last):                                                                                         | 0.00/46.7k [00:00<?, ?B/s]
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 2213, in __call__
    return self.wsgi_app(environ, start_response)                                                                         | 0.00/46.7k [00:00<?, ?B/s]
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 2193, in wsgi_app                                     | 0.00/46.7k [00:00<?, ?B/s]
    response = self.handle_exception(e)                                                                                   | 0.00/46.7k [00:00<?, ?B/s]
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 2190, in wsgi_app
    response = self.full_dispatch_request()
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 1486, in full_dispatch_request
    rv = self.handle_user_exception(e)
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 1484, in full_dispatch_request
    rv = self.dispatch_request()
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 1469, in dispatch_request
    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)
  File "/workspace/main.py", line 45, in home
    "predictions": predict_single_image(image_url),
  File "/workspace/main.py", line 20, in predict_single_image
    results = model(image_url)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/engine/model.py", line 111, in __call__
    return self.predict(source, stream, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/engine/model.py", line 253, in predict
    return self.predictor.predict_cli(source=source) if is_cli else self.predictor(source=source, stream=stream)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/engine/predictor.py", line 184, in __call__
    return list(self.stream_inference(source, model))  # merge list of Result into one
  File "/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py", line 35, in generator_context
    response = gen.send(None)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/engine/predictor.py", line 244, in stream_inference
    self.results = self.postprocess(preds, im, im0s)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/v8/detect/predict.py", line 26, in postprocess
    path = self.batch[0]
TypeError: 'NoneType' object is not subscriptable
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 1.36MB/s]
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 166.1ms
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 878kB/s]Speed: 6.2ms preprocess, 166.1ms inference, 75.2ms postprocess per image at shape (1, 3, 800, 800)

100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 1.06MB/s]
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 1.04MB/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 793kB/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 597kB/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 758kB/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 974kB/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 565kB/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 517kB/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 492kB/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 749kB/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 547kB/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 548kB/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 579kB/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 590kB/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 628kB/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 616kB/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 507kB/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 674kB/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 330kB/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 617kB/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 521kB/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 347kB/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 570kB/s]
Traceback (most recent call last):
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 2213, in __call__
    return self.wsgi_app(environ, start_response)
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 2193, in wsgi_app
    response = self.handle_exception(e)
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 2190, in wsgi_app
    response = self.full_dispatch_request()
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 1486, in full_dispatch_request
    rv = self.handle_user_exception(e)
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 1484, in full_dispatch_request
    rv = self.dispatch_request()
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 1469, in dispatch_request
    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)
  File "/workspace/main.py", line 45, in home
    "predictions": predict_single_image(image_url),
  File "/workspace/main.py", line 20, in predict_single_image
    results = model(image_url)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/engine/model.py", line 111, in __call__
    return self.predict(source, stream, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/engine/model.py", line 253, in predict
    return self.predictor.predict_cli(source=source) if is_cli else self.predictor(source=source, stream=stream)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/engine/predictor.py", line 184, in __call__
    return list(self.stream_inference(source, model))  # merge list of Result into one
  File "/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py", line 35, in generator_context
    response = gen.send(None)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/engine/predictor.py", line 244, in stream_inference
    self.results = self.postprocess(preds, im, im0s)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/v8/detect/predict.py", line 26, in postprocess
    path = self.batch[0]
TypeError: 'NoneType' object is not subscriptable
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 482kB/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46.7k/46.7k [00:00<00:00, 538kB/s]
Traceback (most recent call last):
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 2213, in __call__
    return self.wsgi_app(environ, start_response)
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 2193, in wsgi_app
    response = self.handle_exception(e)
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 2190, in wsgi_app
    response = self.full_dispatch_request()
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 1486, in full_dispatch_request
    rv = self.handle_user_exception(e)
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 1484, in full_dispatch_request
    rv = self.dispatch_request()
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 1469, in dispatch_request
    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)
  File "/workspace/main.py", line 45, in home
    "predictions": predict_single_image(image_url),
  File "/workspace/main.py", line 20, in predict_single_image
    results = model(image_url)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/engine/model.py", line 111, in __call__
    return self.predict(source, stream, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/engine/model.py", line 253, in predict
    return self.predictor.predict_cli(source=source) if is_cli else self.predictor(source=source, stream=stream)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/engine/predictor.py", line 184, in __call__
    return list(self.stream_inference(source, model))  # merge list of Result into one
  File "/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py", line 35, in generator_context
    response = gen.send(None)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/engine/predictor.py", line 244, in stream_inference
    self.results = self.postprocess(preds, im, im0s)
  File "/usr/local/lib/python3.10/dist-packages/ultralytics/yolo/v8/detect/predict.py", line 26, in postprocess
    path = self.batch[0]
TypeError: 'NoneType' object is not subscriptable
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 381.9ms
Speed: 10.1ms preprocess, 381.9ms inference, 184.7ms postprocess per image at shape (1, 3, 800, 800)
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 416.0ms
Speed: 3.0ms preprocess, 104.0ms inference, 43.5ms postprocess per image at shape (1, 3, 800, 800)
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 381.7ms
Speed: 4.4ms preprocess, 95.4ms inference, 47.0ms postprocess per image at shape (1, 3, 800, 800)
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 404.2ms
Speed: 7.4ms preprocess, 101.1ms inference, 38.3ms postprocess per image at shape (1, 3, 800, 800)
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 493.2ms
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 509.8ms
Speed: 1.4ms preprocess, 82.2ms inference, 26.9ms postprocess per image at shape (1, 3, 800, 800)
Speed: 3.0ms preprocess, 85.0ms inference, 23.7ms postprocess per image at shape (1, 3, 800, 800)
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 551.8ms
Speed: 2.3ms preprocess, 78.8ms inference, 19.8ms postprocess per image at shape (1, 3, 800, 800)
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 500.3ms
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 563.6ms
Speed: 1.4ms preprocess, 62.6ms inference, 16.1ms postprocess per image at shape (1, 3, 800, 800)
Speed: 2.6ms preprocess, 55.6ms inference, 17.8ms postprocess per image at shape (1, 3, 800, 800)
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 (no detections), 552.0ms
Speed: 1.6ms preprocess, 46.0ms inference, 2.9ms postprocess per image at shape (1, 3, 800, 800)
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 528.9ms
Speed: 1.3ms preprocess, 44.1ms inference, 12.6ms postprocess per image at shape (1, 3, 800, 800)
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 558.4ms
Speed: 2.0ms preprocess, 46.5ms inference, 11.3ms postprocess per image at shape (1, 3, 800, 800)
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 609.6ms
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 577.3ms
Speed: 0.9ms preprocess, 40.6ms inference, 11.0ms postprocess per image at shape (1, 3, 800, 800)
Speed: 0.6ms preprocess, 38.5ms inference, 7.8ms postprocess per image at shape (1, 3, 800, 800)
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 590.5ms
Speed: 2.3ms preprocess, 39.4ms inference, 9.7ms postprocess per image at shape (1, 3, 800, 800)
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 (no detections), 562.2ms
Speed: 2.3ms preprocess, 35.1ms inference, 1.8ms postprocess per image at shape (1, 3, 800, 800)
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 542.1ms
Speed: 0.7ms preprocess, 30.1ms inference, 7.7ms postprocess per image at shape (1, 3, 800, 800)
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 569.4ms
Speed: 0.9ms preprocess, 28.5ms inference, 7.2ms postprocess per image at shape (1, 3, 800, 800)
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 587.5ms
Speed: 1.8ms preprocess, 29.4ms inference, 7.2ms postprocess per image at shape (1, 3, 800, 800)
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 505.2ms
Speed: 1.8ms preprocess, 24.1ms inference, 6.3ms postprocess per image at shape (1, 3, 800, 800)
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 508.5ms
Speed: 1.3ms preprocess, 21.2ms inference, 5.0ms postprocess per image at shape (1, 3, 800, 800)
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 564.9ms
Speed: 1.3ms preprocess, 23.5ms inference, 5.0ms postprocess per image at shape (1, 3, 800, 800)
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 567.8ms
Speed: 1.7ms preprocess, 23.7ms inference, 6.2ms postprocess per image at shape (1, 3, 800, 800)
image 1/1 /workspace/68a31cb7cc50b355a63624176e095c250cb39e6c.jpg: 800x800 1 adult, 202 underages, 552.1ms