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Fix/interarea #10

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merged 2 commits into from
Dec 21, 2021
Merged

Fix/interarea #10

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deb1db2
Update dataset.py
victorjourne Dec 20, 2021
009f05b
Update README.md
victorjourne Dec 20, 2021
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2 changes: 1 addition & 1 deletion README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -34,7 +34,7 @@ python test_dataset.py --gpu 0 --model_path pretrained_model_path --test_img_dir
Dataset|MAE|MSE
-|-|-
sha|69.35|104.4
shb|8.81|15.5
shb|8.58|14.87
qrnf|tbd|tbd

Anyone interested in implementing crowd counting models is welcomed to contact me.
8 changes: 5 additions & 3 deletions dataset.py
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Expand Up @@ -52,8 +52,10 @@ def load_data(img_path, ratio, aug, index, kernel_path='maps_adaptive_kernel'):
img = img.convert('L').convert('RGB') # convert to grayscale on 3 channels
count = target.sum()
if ratio>1:
target = cv2.resize(target, (int(target.shape[1]/ratio),int(target.shape[0]/ratio)), interpolation=cv2.INTER_CUBIC) * (ratio**2)

ratio_rounded = int(target.shape[0]) * int(target.shape[1]) / (int(target.shape[1] / ratio) * int(target.shape[0] / ratio))
# INTER_AREA interpolation leads to the smallest error after resizing the target
target = cv2.resize(target, (int(target.shape[1]/ratio),int(target.shape[0]/ratio)), interpolation=cv2.INTER_AREA) * ratio_rounded

return img, target, count


Expand All @@ -71,4 +73,4 @@ def __getitem__(self, index):
img = self.transform(img)
return img, target, count
def __len__(self):
return self.nsamples
return self.nsamples