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xavysp / DexiNed

DexiNed: Dense EXtreme Inception Network for Edge Detection
MIT License
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test result? #6

Closed zjuirene closed 4 years ago

zjuirene commented 4 years ago

when I test the single image, I got the following result, but it is not the expected one. Is there something wrong with my operation? Thank you! I'm a beginner. image

xavysp commented 4 years ago

Dear friend, just minutes ago I have tested in Lenna image (single image)

Ubuntu 16.04 Tensorflow version: 1.13.1 CUDA Version: 10.0.130 Python: 3.7.3

Then 1 git clone https://github.com/xavysp/DexiNed.git DexiNed_tmp 2 Into DexiNed_tmp folder I have created checkpoints/DXN_BIPED/train folders 3 Intro the folder created in 2 (checkpoints/DXN_BIPED/train) I have downloaded the files in https://drive.google.com/drive/folders/1fLBpOrSXC2VOWUvDtNGyrHcuB2IB-4_D?usp=sharing 4 Do python run_model.py --image_width=512 --image_height=512 5 Check the result in results/DexiNed_BIPED2CLASSIC. There are some warnings, don’t worries, we are working in TF2.0

4 You can also run with IDEs, I have tested with Pycharm see results from Lenna lena_std

lena_std Predictions from DexiNed-a, Dexined-f, respectively.

Please, let me know if this help you.

Xavier

xavysp commented 4 years ago

After waiting 15 days I close the issue