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Added a size adjuster since large images may take too long to process and it might not always be necessary to have the exact same resolution. Also slightly modified the preprocessing steps to make them work better #548

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Added a size adjuster since large images may take too long to process and it might not always be necessary to have the exact same resolution. Also slightly modified the preprocessing steps to make them work better #548

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8 changes: 7 additions & 1 deletion vision/object_detection_segmentation/fcn/README.md
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Expand Up @@ -44,7 +44,13 @@ preprocess = transforms.Compose([
])

img = Image.open('dependencies/000000017968.jpg')
img_data = preprocess(img).detach().cpu().numpy()

#Uncomment the following line to resize to the approriate resolution
#img = img.resize((640 ,480), Image.Resampling.LANCZOS)
orig_tensor = np.array(img)
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import numpy as np is missing.

img_data = utils.preprocess(orig_tensor)
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What's `utils? Or it refers to the preprocess function defined above?

img_data = img_data.unsqueeze(0)
img_data = img_data.detach().cpu().numpy()
```

### Output of model
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