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fix    取消归一化预处理，因为训练时没有做该操作
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zhouchengrong
2024-10-23 15:16:58 +08:00
parent 6fe485f2ab
commit 3e796ac162
1 changed files with 1 additions and 1 deletions
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app/service/design_fast/utils/design_ensemble.py
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@@ -85,7 +85,7 @@ def seg_preprocess(img_path):
if ori_shape != (img_scale_w, img_scale_h): if ori_shape != (img_scale_w, img_scale_h):
# mmcv.imresize(img, img_scale_h, img_scale_w) # 老代码 引以为戒！哈哈哈~ h和w写反了 # mmcv.imresize(img, img_scale_h, img_scale_w) # 老代码 引以为戒！哈哈哈~ h和w写反了
img = cv2.resize(img, (img_scale_h, img_scale_w)) img = cv2.resize(img, (img_scale_h, img_scale_w))
img = mmcv.imnormalize(img, mean=np.array([123.675, 116.28, 103.53]), std=np.array([58.395, 57.12, 57.375]), to_rgb=True) # img = mmcv.imnormalize(img, mean=np.array([123.675, 116.28, 103.53]), std=np.array([58.395, 57.12, 57.375]), to_rgb=True)
preprocessed_img = np.expand_dims(img.transpose(2, 0, 1), axis=0) preprocessed_img = np.expand_dims(img.transpose(2, 0, 1), axis=0)
return preprocessed_img, ori_shape return preprocessed_img, ori_shape