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831aea3
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Parent(s):
ac9d131
Update README.md
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README.md
CHANGED
@@ -67,8 +67,15 @@ sample = {
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"""
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sample = dataset[index]
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"""
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preprocessed_sample = {
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'rgb': tensor([[[[-0.8507, ....0365]]]]),
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'gt': tensor([[[[0., 0., 0...., 0.]]]]),
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@@ -78,12 +85,17 @@ preprocessed_sample = {
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preprocessed_sample = image_processor.preprocess(sample)
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"""
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output = {
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'logits': tensor([[[[-5.1966, ...ackward0>)
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}
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"""
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output = model(preprocessed_sample["rgb"], preprocessed_sample["depth"])
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postprocessed_sample: np.ndarray = image_processor.postprocess(
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output["logits"], [sample["gt"].size[1], sample["gt"].size[0]]
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)
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@@ -93,7 +105,8 @@ prediction = Image.fromarray(np.uint8(cm.gist_earth(postprocessed_sample) * 255)
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Show the predicted salient map and the corresponding ground-truth(GT)
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"""
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prediction.show()
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-
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```
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### Downstream Use [optional]
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"""
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sample = dataset[index]
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depth: Image.Image = sample["depth"]
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rgb: Image.Image = sample["rgb"]
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gt: Image.Image = sample["gt"]
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name: str = sample["name"]
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"""
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1. Preprocessing step
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preprocessed_sample = {
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'rgb': tensor([[[[-0.8507, ....0365]]]]),
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'gt': tensor([[[[0., 0., 0...., 0.]]]]),
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preprocessed_sample = image_processor.preprocess(sample)
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"""
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2. Prediction step
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output = {
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'logits': tensor([[[[-5.1966, ...ackward0>)
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}
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"""
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output = model(preprocessed_sample["rgb"], preprocessed_sample["depth"])
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"""
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3. Postprocessing step
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"""
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postprocessed_sample: np.ndarray = image_processor.postprocess(
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output["logits"], [sample["gt"].size[1], sample["gt"].size[0]]
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)
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Show the predicted salient map and the corresponding ground-truth(GT)
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"""
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prediction.show()
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gt.show()
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```
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### Downstream Use [optional]
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