Yili Zhao
Yili Zhao
I can confirm @ChrisKader solution fix this error.
For Ubuntu 18.04, I also need to install `libssl-dev` package.
By the way, for Ubuntu 18.04, do we still need to use the `libcurlpp` version from github `https://github.com/jpbarrette/curlpp.git` like in Ubuntu 16.04?
I got the same error when trained with tensorflow 2.4
@RisingPhoelix I tried this solution, and it seems worked at first. And I will do more test with this repo and tensorflow 2.4.1. Thanks!
@enoceanwei Hi, I think we should use tensorflow v1, not v2.
@jakeret May I ask that how can I checked the curves in Tensorboard? The tf_unet document says: > Keep track of the learning progress using Tesorboard. tf_unet automatically outputs relevant...
@jakeret @AlibekJ My custom training dataset has 5000 color images and 5000 corresponding mask images. Can you recommend settings for these parameters: - layers - features_root - training_iters - epochs
@jakeret Follow your suggestion, below is my training code: ``` search_path = 'data/train/*.jpg' data_provider = image_util.ImageDataProvider(search_path, a_min=0, a_max=255, data_suffix='.jpg', mask_suffix='.png') net = unet.Unet(channels=data_provider.channels, n_class=data_provider.n_class, layers=3, features_root=64) trainer = unet.Trainer(net, optimizer='adam')...
@jakeret I have tried the `dice_coefficient` loss function, but the outputs are always black.