Classify UCF-101 videos using one frame at a time with a CNN(InceptionV3)
IMSI MasterClips 1,500,000 overview and full product specs on CNET.
The paper blog [视频分类之UCF101上的CNN方法详解] for chinese at zhihu.com https://zhuanlan.zhihu.com/p/28307781
Requirements
This project runs at ubuntu 16.04 with GeForce GTX 1080 8G X2.
This code requires you have Keras 2+ and TensorFlow 1+ or greater installed.
Getting the data
First, download the dataset from UCF into the data folder:
Why is the software program still available?Based on our scan system, we have determined that these flags are possibly false positives. Why is this software program no longer available in our Catalog?Based on our scan system, we have determined that these flags are likely to be real positives.We’d like to highlight that from time to time, we may miss a potentially malicious software program. What is a false positive?It means a benign program is wrongfully flagged as malicious due to an overly broad detection signature or algorithm used in an antivirus program.BlockedIt’s highly probable this software program is malicious or contains unwanted bundled software. 
cd data && wget http://crcv.ucf.edu/data/UCF101/UCF101.rar
Then extract it with unrar e UCF101.rar.
Next, create folders (still in the data folder) with mkdir train && mkdir test && mkdir sequences && mkdir checkpoints.
Now you can run the scripts in the data folder to move the videos to the appropriate place, extract their frames and make the CSV file the rest of the code references. You need to run these in order. Example:
python 1_move_files.py
python 2_extract_files.py # make sure installed \'ffmpeg\' before,eg. sudo apt-get install ffmpeg
Running models
Run python CNN_train_UCF101.py to train and save the CNN model.
Choose the best model to run python CNN_evaluate_testset.py to evaluate the whole test set, that takes a long time for 697,865 images.
Run python CNN_validate_images.py to classify a few images.
UCF101 Citation
Khurram Soomro, Amir Roshan Zamir and Mubarak Shah, UCF101: A Dataset of 101 Human Action Classes From Videos in The Wild., CRCV-TR-12-01, November, 2012.
This project thanks for the open project at github https://github.com/harvitronix/five-video-classification-methods
Below you can search and find your area locations that sell Dorman Products.
Due to the wide range of Dorman Products, some products may not be available at all locations. Please contact the location to verify product availability.
We’re currently performing maintenance on our mapping tool that helps you find Dorman distributors near your location. In the meantime, you can ask for Dorman auto parts at most national retailers, parts distributors and repair shops throughout North America. If you ever have trouble finding something, please contact our customer service team.
...'>Master Clips 101 000(11.03.2020)Classify UCF-101 videos using one frame at a time with a CNN(InceptionV3)
IMSI MasterClips 1,500,000 overview and full product specs on CNET.
The paper blog [视频分类之UCF101上的CNN方法详解] for chinese at zhihu.com https://zhuanlan.zhihu.com/p/28307781
Requirements
This project runs at ubuntu 16.04 with GeForce GTX 1080 8G X2.
This code requires you have Keras 2+ and TensorFlow 1+ or greater installed.
Getting the data
First, download the dataset from UCF into the data folder:
Why is the software program still available?Based on our scan system, we have determined that these flags are possibly false positives. Why is this software program no longer available in our Catalog?Based on our scan system, we have determined that these flags are likely to be real positives.We’d like to highlight that from time to time, we may miss a potentially malicious software program. What is a false positive?It means a benign program is wrongfully flagged as malicious due to an overly broad detection signature or algorithm used in an antivirus program.BlockedIt’s highly probable this software program is malicious or contains unwanted bundled software.
cd data && wget http://crcv.ucf.edu/data/UCF101/UCF101.rar
Then extract it with unrar e UCF101.rar.
Next, create folders (still in the data folder) with mkdir train && mkdir test && mkdir sequences && mkdir checkpoints.
Now you can run the scripts in the data folder to move the videos to the appropriate place, extract their frames and make the CSV file the rest of the code references. You need to run these in order. Example:
python 1_move_files.py
python 2_extract_files.py # make sure installed \'ffmpeg\' before,eg. sudo apt-get install ffmpeg
Running models
Run python CNN_train_UCF101.py to train and save the CNN model.
Choose the best model to run python CNN_evaluate_testset.py to evaluate the whole test set, that takes a long time for 697,865 images.
Run python CNN_validate_images.py to classify a few images.
UCF101 Citation
Khurram Soomro, Amir Roshan Zamir and Mubarak Shah, UCF101: A Dataset of 101 Human Action Classes From Videos in The Wild., CRCV-TR-12-01, November, 2012.
This project thanks for the open project at github https://github.com/harvitronix/five-video-classification-methods
Below you can search and find your area locations that sell Dorman Products.
Due to the wide range of Dorman Products, some products may not be available at all locations. Please contact the location to verify product availability.
We’re currently performing maintenance on our mapping tool that helps you find Dorman distributors near your location. In the meantime, you can ask for Dorman auto parts at most national retailers, parts distributors and repair shops throughout North America. If you ever have trouble finding something, please contact our customer service team.
...'>Master Clips 101 000(11.03.2020)