get error

aaa_helpers.txt

@@ -1,5 +1,8 @@
+nohup python cvae.py --name="lhunor_abl_all_post_r7" > nohup/post/abl_all_post_r7.out 2>&1 &
+nohup python evaluate_ae.py --name lhunor_abl_all_post_r7_70k > nohup/evaluate/abl_all_post_r7_70k.out 2>&1 &
+nohup python calculate_error.py --name error_abl_all_post_r7_70k > nohup/error/abl_all_post_r7_70k.out 2>&1 &
+
 one final convolutional layer for smoothing, on the final coordinates
-nohup python calculate_error.py --name error_al_all_150k > nohup/error/post_al_all_150k.out 2>&1 &
 
 skirts!!!!
 pyramid next week

calculate_error.py

@@ -59,7 +59,7 @@ if __name__ == '__main__':
     folder = config['test_dir']
 
     checkpoint_name = config['name']
-    iteration = ''
+    iteration = '70000'
 
     F = np.load("custom_utils/smpl_faces" + skirt_modifier + ".npy").astype(np.int32)
     garment_type_table = np.load('custom_data/garment_type_table_test.npy', allow_pickle=True).item()

configs/config_abl_all_post.py

@@ -19,8 +19,8 @@ config['only_curvatures'] =           False
 ablation_count = [config['use_skinning'], config['remove_global_orientation'], config['use_curvature'], config['use_extra_losses'], config['use_offsets']].count(False)
 assert ablation_count == 1 or ablation_count == 0
 
-config['gpu'] = '4'
-config['name'] = 'al_all_post'
+config['gpu'] = '0'
+config['name'] = 'abl_all_post_r7'
 config['notes'] = ''
 
 config['avg_garment_path'] = 'custom_data/train_no_shape_avg_uv.npy' #custom_data/train_no_shape_avg_uv.npy # train_no_shape_avg_uv  train_no_shape_one_hot_avg_uv

cvae.py

@@ -73,7 +73,7 @@ def kl_loss(mean, logvar):
 
 # 3d loss on posed !!!!!!!!!!!!
 
-# @tf.function
+@tf.function
 def train_step(batch):
 
     with tf.GradientTape() as tape:
@@ -476,7 +476,7 @@ def test():
 
 
 if __name__ == '__main__':
-    # init_wandb()
+    init_wandb()
     parser = argparse.ArgumentParser(description='')
     parser.add_argument('--name', type=str)
     args = vars(parser.parse_args())

docker/Dockerfile

@@ -2,41 +2,9 @@ FROM tensorflow/tensorflow:2.9.0-gpu
 
 RUN apt-get update
 RUN apt-get upgrade -y
-
-# Add the current user to the image
-ARG USER_NAME=lhunor
-ARG USER_ID=11017
-ARG GROUP_NAME=guest
-ARG GROUP_ID=11000
-
-# Update the system and install required packages
-RUN apt-get update && apt-get upgrade -y && apt-get install -y sudo git
-
-# Create a new group with the same GID as the host
-RUN groupadd --gid $GROUP_ID $GROUP_NAME
-
-# Create a new user with the same UID and GID as the host
-RUN useradd --uid $USER_ID --gid $GROUP_ID --shell /bin/bash --create-home $USER_NAME
-
-# don't require password with sudo, for convenience
-# not the safest thing to do, but hopefully okay inside the container
-RUN echo '%sudo ALL=(ALL) NOPASSWD:ALL' >> /etc/sudoers
-
-# Add the new user to the sudo group
-RUN usermod -aG sudo $USER_NAME
-
-# Set the default user to the new user
-USER $USER_NAME
-
-WORKDIR //home-net
-
 RUN apt-get install git ffmpeg libsm6 libxext6 libopenexr-dev zip unzip htop nano -y
 RUN pip install numpy matplotlib opencv-python wandb OpenEXR tensorflow-graphics scipy plotly pandas tensorboardX opencv-python cmapy
 
-# defining the volumes that will be mounted
-VOLUME [ "/data-net" ]
-VOLUME [ "/data-local" ]
-VOLUME [ "/home-net" ]
 
-# Start the container with a bash shell
-CMD ["/bin/bash"]
+WORKDIR /home/workspace/data
+# RUN wandb login

evaluate_ae.py

@@ -102,7 +102,7 @@ if __name__ == '__main__':
     ids = [id.split('_')[0] for id in ids]
     ids = set(ids)
 
-    iteration = ''
+    iteration = '70000'
 
     load_model(model, 'checkpoints/post/' + checkpoint_name, iteration=iteration)
     # load_model(model, 'checkpoints/' + 'abl_all_120k')

get_error.py

@@ -7,10 +7,10 @@ if __name__ == '__main__':
     garment_type_table = np.load('custom_data/garment_type_table_test.npy', allow_pickle=True).item()
     folder = '/home/workspace/data/results/errors'
 
-    checkpoint_name = 'abl_2_pyr_32_64_128_256_512'
-    checkpoint_name_skirt = 'abl_2_pyr_32_64_128_256_512_skirt'
-    iteration = '50000'
-    iteration_skirt : str = '50000'
+    checkpoint_name = 'abl_all_post_r7'
+    checkpoint_name_skirt = ''
+    iteration = '70000'
+    iteration_skirt : str = ''
 
     # checkpoint_name = 'abl_skin'
     # checkpoint_name_skirt = checkpoint_name + '_skirt'