Comments (6)
I think it is because when printing a matrix in python, the numbers should be aligned in the direction of a column as follows. So once you save the results in log file, the space between '[[' and the number would also be saved.
In order to tackle the problem, I add a postprocess to deal with the spaces...
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I have met the same problem, and i donnot know why the log file have this format : [[9.4955711e+00 7.9366196e+01 6.5591358e-02]] ? But there should be [[ 9.4955711e+00 7.9366196e+01 6.5591358e-02]] , what has caused this problem ? i have no idea, have you solved this problem?(The first time i got the true format of this log file like [[ left_frame right_frame score]], but this time i got log file like[[left_frame right_frame score]] , this format can not be analysis by the code of analysis_log.py because of the false format)
Thanks for your reply!
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hi @kstys @wangwen39
I am new for action detection and very interested in this field. I use the test script R-C3D/experiments/activitynet/test_net.py to do the test.
I am using a card of 1080Ti with 11G memory, but 2.5G was used by other students, so I was only left with 8.5G memory with GPU. But when I run the test_net.py script in ActivityNet , only loaded one 1 video's frams(768 images), but out of memory at the step:
blobs_out = net.forward(**forward_kwargs)
"""
F0713 15:08:15.452706 22317 syncedmem.cpp:56] Check failed: error == cudaSuccess (2 vs. 0) out of memory
*** Check failure stack trace: ***
Aborted (core dumped)
"""
so could you plz tell me what is your GPU type and how many GPUs have you used when testing and training this code?
Thanks in advance!
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@wangwen39 Have you solved your problem? I have the same issue: some of the matrixs are in this format: [[9.4955711e+00 7.9366196e+01 6.5591358e-02]], and some of them have "space" between number and '[[', I cannot figure out the reason for that.
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Related Issues (20)
- About the activitynet dataset HOT 1
- about testing HOT 4
- How can this method be used to train your own data? HOT 1
- How to get the result for a new input video, once the model is trained and tested. HOT 1
- Generating metafile for custom dataset
- Could I share your validation_set.mat for thumos'14 dataset? HOT 2
- Could I share your trained well models for thumos'14 and ActivityNet v1.3 datasets in your R-C3D paper?
- could you share the method to generate "thumos14_gt_test.json"?
- will 1st-5th groups C3D weights modified via back-propagation? HOT 1
- When I trained my own video base on "activitynet_iter_30000_3fps.caffemodel",it stoped at some one iteration. HOT 1
- could you share the method to evaluation on charades
- about trainning my own dataset
- about batch_size
- about batch_size
- Can anybody share a demo result txt file for evaluation?
- Make error while building R-C3D/lib folder. nvcc error
- How to get ucf101.caffemode HOT 3
- I cannot find this file '/scratch/detection/scnn/experiments/my_experiments/annotation/annotation_test/detclasslist.txt' when I test my model
- <Thumos experiment> the dropout layer in train.prototxt was cancelled ,but i found overfitting when trying to test my caffemodel by using eval_detection.py
- <Thumos experiment>the python/tuple in train.prototxt was [2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32,34,36,38,40,42,44,46,48,50,52,54,56],which is different from [2,4,5,6,8,9,10,12,14,16] in your paper of R-C3D
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