An error occurred when entering such a parameter on the command line,what can we input about [checkpoint -path]?Can you give us an example?
Namespace(batch_size=1, criterion='l2', epochs=11, evaluate='[checkpoint-path]', i
nput='gd', jitter=0.1, layers=34, lr=1e-05, pretrained=False, print_freq=10, rank_metric='rmse', result='..\results', resume='', start_epoch=0, train_mode='dense', use_d=True, use_g=True, use_pose=False, use_rgb=False, val='select', w1=0, w2=0, weight_decay=0, workers=4)
=> no model found at '[checkpoint-path]'
python main.py --evaluate /home/jadoo/dense_lidar/checkpoint/model_best.pth.tar
Can you give us an example?
Akash gave an excellent example.
Also, please do not post the same question repeatedly.
thanks for your reply. It worked the way you gave it, but it still went wrong. What can we do?
=> checkpoint loaded.
=> creating model and optimizer...
=> model and optimizer created.
Traceback (most recent call last):
File "main.py", line 247, in
main()
File "main.py", line 204, in main
model.load_state_dict(checkpoint['model'])
File "D:\Users\USER_CC\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 721, in load_state_dict
self.class.name, "\n\t".join(error_msgs)))
RuntimeError: Error(s) in loading state_dict for DepthCompletionNet:
Unexpected key(s) in state_dict: "conv1_d.1.num_batches_tracked", "conv1_img.1.num_batches_tracked", "conv2.0.bn1.num_batches_tracked", "conv2.0.bn2.num_batches_tracked", "conv2.1.bn1.num_batches_tracked", "conv2.1.bn2.num_batches_tracked", "conv2.2.bn1.num_batches_tracked", "conv2.2.bn2.num_batches_tracked", "conv3.0.bn1.num_batches_tracked", "conv3.0.bn2.num_batches_tracked", "conv3.0.downsample.1.num_batches_tracked", "conv3.1.bn1.num_batches_tracked", "conv3.1.bn2.num_batches_tracked", "conv3.2.bn1.num_batches_tracked", "conv3.2.bn2.num_batches_tracked", "conv3.3.bn1.num_batches_tracked", "conv3.3.bn2.num_batches_tracked", "conv4.0.bn1.num_batches_tracked", "conv4.0.bn2.num_batches_tracked", "conv4.0.downsample.1.num_batches_tracked", "conv4.1.bn1.num_batches_tracked", "conv4.1.bn2.num_batches_tracked", "conv4.2.bn1.num_batches_tracked", "conv4.2.bn2.num_batches_tracked", "conv4.3.bn1.num_batches_tracked", "conv4.3.bn2.num_batches_tracked", "conv4.4.bn1.num_batches_tracked", "conv4.4.bn2.num_batches_tracked", "conv4.5.bn1.num_batches_tracked", "conv4.5.bn2.num_batches_tracked", "conv5.0.bn1.num_batches_tracked", "conv5.0.bn2.num_batches_tracked", "conv5.0.downsample.1.num_batches_tracked", "conv5.1.bn1.num_batches_tracked", "conv5.1.bn2.num_batches_tracked", "conv5.2.bn1.num_batches_tracked", "conv5.2.bn2.num_batches_tracked", "conv6.1.num_batches_tracked", "convt5.1.num_batches_tracked", "convt4.1.num_batches_tracked", "convt3.1.num_batches_tracked", "convt2.1.num_batches_tracked", "convt1.1.num_batches_tracked".