streamlit uploaded image

[yupopa]

❔Question

streamlit return BytesIO object when image uploaded how can ı pass through that type of object to my model. I use torch.hub.load to make an detection and ı used results function. How can ı pass through that type of image to results function? can you please help me

Additional context

ı am also getting this error
File "/home/appuser/.cache/torch/hub/ultralytics_yolov5_master/models/common.py", line 207, in forward
if im.shape[0] < 5: # image in CHW

[github-actions]

👋 Hello @yupopa, thank you for your interest in 🚀 YOLOv5! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

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[glenn-jocher]

@yupopa PyTorch Hub Tutorial contains example BytesIO usage:

Base64 Results

For use with API services. See #2291 for details.

results = model(imgs)  # inference

results.imgs # array of original images (as np array) passed to model for inference
results.render()  # updates results.imgs with boxes and labels
for img in results.imgs:
    buffered = BytesIO()
    img_base64 = Image.fromarray(img)
    img_base64.save(buffered, format="JPEG")
    print(base64.b64encode(buffered.getvalue()).decode('utf-8'))  # base64 encoded image with results

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[github-actions]

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