Create a smi file based on the video.
Project description
VideoToSMI
Create a smi file based on the video.
- Copyright (c) 2019 InfoLab (Donggun LEE)
- How to install
pip install VideoToSMI
- other version
# 0.0.1 pip install VideoToSMI==0.0.1
- other version
- Functions
video = Video() # Goto https://github.com/Sotaneum/deepgeo def add_model(model_name, lib_name, config_data): pass # TO SMI def detect(file_url, model_name, frame_set, rotation, filter) return FILE
- How to use
- Import VideoToSMI
from videotosmi import Video
- Video To SMI
video = Video() video.add_model('mscoco','maskrcnn','d:/config.json') filter_ = ['car','bus','truck'] video.detect('d:/test.mov','mscoco',ftr=filter_) # rotation 180 video.detect('d:/test.mov','mscoco',rotation=180, ftr=filter_) #Frame 60 video.detect('d:/test.mov','mscoco',frame_set=60,rotation=180, ftr=filter_)
- Import VideoToSMI
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
videotosmi-0.0.1.tar.gz
(4.2 kB
view hashes)
Built Distribution
Close
Hashes for videotosmi-0.0.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5c3d97aeea949338c80bfe836d010b2597be5693a526c46913525869356098fd |
|
MD5 | cb875cf716e8c33cc403e14b0b6f0e78 |
|
BLAKE2b-256 | 5a7a3b718cadbc007f711492f4c39820a28585de2c20118c1e3eba47aced5a53 |