일 | 월 | 화 | 수 | 목 | 금 | 토 |
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | ||
6 | 7 | 8 | 9 | 10 | 11 | 12 |
13 | 14 | 15 | 16 | 17 | 18 | 19 |
20 | 21 | 22 | 23 | 24 | 25 | 26 |
27 | 28 | 29 | 30 | 31 |
- python3
- ubuntu
- keras
- error
- ppc64le
- YouTube 8M
- Windows 10
- FIle
- gpu memory
- object detection
- Deep Learning
- colab
- TensorFlow
- Anaconda
- pyTorch
- CUDA
- Jupyter notebook
- colaboratory
- download
- dlib
- urllib
- python
- 딥러닝
- linux
- install
- dataset
- face_recognition
- shakeratos
- raspberry pi
- windows
- Today
- Total
목록ffmpeg (2)
Shakerato
Reference:https://github.com/kenshohara/video-classification-3d-cnn-pytorch (Linux)1. Install Anaconda and Setup Pytorch (GPU)2. Download code from Github (https://github.com/kenshohara/video-classification-3d-cnn-pytorch)3. Download Pre-trained Model and copy to source code folder (resnext-101-kinetics.pth) https://drive.google.com/drive/folders/1zvl89AgFAApbH0At-gMuZSeQB_LpNP-M4. Install FFmpe..
1. https://www.ffmpeg.org/download.html2. Click Windows icon3. Click 'Windows Builds' text4. Download version 3.4.2, 64bit or 32bit, Static5. Extract zip file, copy /bin/ffmpeg.exe to video folder6. Making video clips using this command ffmpeg -i [Input file name] -ss [start time] -to [end time] [output file name] (example)ffmpeg -i video.mp4 -ss 00:00:03.000 -to 00:00:12.000 clip1.mp4