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car-detection-bayes
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rect padding to 64, mAP increase 42.7 to 42.9

This commit is contained in:
Glenn Jocher 2020-04-05 16:06:27 -07:00
parent bb59ffe68f
commit 4da5c6c114
1 changed files with 2 additions and 2 deletions
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4
utils/datasets.py
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@ -313,7 +313,7 @@ class LoadImagesAndLabels(Dataset): # for training/testing
elif mini > 1: elif mini > 1:
shapes[i] = [1, 1 / mini] shapes[i] = [1, 1 / mini]
self.batch_shapes = np.ceil(np.array(shapes) * img_size / 32.).astype(np.int) * 32 self.batch_shapes = np.ceil(np.array(shapes) * img_size / 64.).astype(np.int) * 64
# Preload labels (required for weighted CE training) # Preload labels (required for weighted CE training)
self.imgs = [None] * n self.imgs = [None] * n
@ -614,7 +614,7 @@ def letterbox(img, new_shape=(416, 416), color=(128, 128, 128),
new_unpad = int(round(shape[1] * r)), int(round(shape[0] * r)) new_unpad = int(round(shape[1] * r)), int(round(shape[0] * r))
dw, dh = new_shape[1] - new_unpad[0], new_shape[0] - new_unpad[1] # wh padding dw, dh = new_shape[1] - new_unpad[0], new_shape[0] - new_unpad[1] # wh padding
if auto: # minimum rectangle if auto: # minimum rectangle
dw, dh = np.mod(dw, 32), np.mod(dh, 32) # wh padding dw, dh = np.mod(dw, 64), np.mod(dh, 64) # wh padding
elif scaleFill: # stretch elif scaleFill: # stretch
dw, dh = 0.0, 0.0 dw, dh = 0.0, 0.0
new_unpad = new_shape new_unpad = new_shape