Person-Segmentation-Keras
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Person segmentation with Keras (SegNet, Unet, etc.)
I noticed that when I change the reshape from https://github.com/TianzhongSong/Person-Segmentation-Keras/blob/master/models/unet.py#L71 into: conv11 = Reshape((input_height * input_width, nClasses))(conv11) the UNet seems to remove the line artifacts seen in the output masks.
@TianzhongSong,您好! gt_img[:] += (gt[:] == 1).astype('uint8') pt_img[:] += (pt[:] == c).astype('uint8') gt_img[:] shape=(1,50176, 2) gt[:] shape=(50176,) pt_img[:] shape=(1,50176, 2) pt[:] shape=(50176,) 这应该也是个问题吧
Traceback (most recent call last): File "predict.py", line 47, in predict_segmentation() File "predict.py", line 20, in predict_segmentation raise ValueError('Do not support {}'.format(args.model)) ValueError: Do not support 'unet Please tell me...
Hello how can i download the dataset if i'm not from china and i don't have a baidu account. any help please?
Was it because I was training less ??
Can we download a pre-trained model?
dear, Epoch 1/50 Traceback (most recent call last): File "train_segmentation.py", line 102, in main() File "train_segmentation.py", line 90, in main callbacks=[checkpoint], File "/home/vsmart/anaconda3/envs/tensorflow/lib/python3.7/site-packages/keras/legacy/interfaces.py", line 91, in wrapper return func(*args, **kwargs)...
dear, Can you show me the tree of data? Thank you!
Hello, I ran 50 epochs according to the code, but it did not achieve satisfactory results. How many epochs do I need to train to achieve such an effect?