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我在跑get_features_v3的时候跑第二段的如下第二行代码时候 img_224 = ((cv2.resize(img, (224, 224))[:,:,::-1] / 255.0 - mean) / std).transpose((2, 0, 1))#此行无问题 img_299 = ((cv2.resize(img, (299, 299))[:,:,::-1] / 255.0 - mean) / std).transpose((2, 0, 1)) 下方的进度条跑到78%之后就会报错Canceled future for execute_request message before replies were done 我搜索了一下说可能是opencv2的版本问题,我更换了好几个版本,有时候卡到81% 有时候88% 但是就没有跑完的。我也尽量把我的版本更新到和您一样了,如 mxnet-cu101=1.5.0 numpy=1.13.3(sciipy=1.4.0) tqdm=4.11.2 sklearn不知道为什么只有0.0.post1 如果您还记得的话恳请帮个忙,谢谢大佬
ps:感觉299是为了inceptionv3专门处理的,这条会报错就暂时不用这个模型跳过了
The text was updated successfully, but these errors were encountered:
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我在跑get_features_v3的时候跑第二段的如下第二行代码时候
img_224 = ((cv2.resize(img, (224, 224))[:,:,::-1] / 255.0 - mean) / std).transpose((2, 0, 1))#此行无问题
img_299 = ((cv2.resize(img, (299, 299))[:,:,::-1] / 255.0 - mean) / std).transpose((2, 0, 1))
下方的进度条跑到78%之后就会报错Canceled future for execute_request message before replies were done
我搜索了一下说可能是opencv2的版本问题,我更换了好几个版本,有时候卡到81% 有时候88% 但是就没有跑完的。我也尽量把我的版本更新到和您一样了,如
mxnet-cu101=1.5.0
numpy=1.13.3(sciipy=1.4.0)
tqdm=4.11.2
sklearn不知道为什么只有0.0.post1
如果您还记得的话恳请帮个忙,谢谢大佬
ps:感觉299是为了inceptionv3专门处理的,这条会报错就暂时不用这个模型跳过了
The text was updated successfully, but these errors were encountered: