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philferriere
Optical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)
Hi: Thanks for your great job. While I reading the code,I found that data augmentations used in the code were listed as follows: 1.Horizontally flip 50% of images 2.Vertically flip...
Hello Mr Ferriere, thank you alot for sharing your tensorflow implementation of PWC Net. Currently I am using it as a starting point for my thesis. However I'm wondering about...
I tried to extract features and got very interesting results.  As you can see level 6 features was constant. I used different pictures and checked all...
Hi, Great work! We would love it on our own video data. How would it be possible to do that? What are the best ways of going about it? Thank...
@philferriere Hi, when I test the pre-train model with image pairs that they are the same or samll motion, results of optical flow prediction are not good. Is this case...
Hello Thanks for your informative implementation. However, after few epochs, the final flow looks very much constant, Did you have a same issue?
In general, we use odd kernel size in conv or deconv, def deonv(line 1182) in model_pwcnet.py , I think the kernel_size=3,not 4. `return tf.layers.conv2d_transpose(x, 2, 4, 2, 'same', name=op_name)`
**some output infos:** 2019-10-31 21:27:13 Iter 49000 [Train]: **loss=184.37, epe=15.17**, lr=0.000100, samples/sec=24.4, sec/step=0.655, eta=8 days, 17:27:22 2019-10-31 21:27:21 Iter 49000 [Val]: **loss=141.03, epe=11.58** Saving model... INFO:tensorflow:./pwcnet-sm-6-2-multisteps-chairsthingsmix/pwcnet.ckpt-49000 is not in all_model_checkpoint_paths....
model: models/pwcnet-sm-6-2-multisteps-chairsthingsmix/pwcnet.ckpt-592000 gpu_devices = [] controller = '/device:CPU:0' windows 8.1 python 3.6 tensorflow 1.13 running: pwcnet_predict_from_img_pairs.py full error output: tensorflow.python.framework.errors_impl.NotFoundError: Restoring from checkpoint failed. This is most likely due to...
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Optical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)