Torque AI Auto Annotation Tool..

.... STEPS: 0. goto directory ( Torque-AI )

cd yolov5/
python3 d.py --source rtmp://media1.ambicam.com:1938/dvr7/fd9b67cc-6c2e-46c6-99c4-0e13ac403e32 Note: the frame will open in PC and ffmpeg will push the stream in NMS (http://media.torqueai.io:8080/admin/streams##)

Name		Name	Last commit message	Last commit date
Latest commit History 68 Commits
.vscode		.vscode
FR		FR
Fire_detection		Fire_detection
Users_slab		Users_slab
__pycache__		__pycache__
apps		apps
autoAnnotation		autoAnnotation
crowd_counting		crowd_counting
face_detection_model		face_detection_model
face_detector		face_detector
face_recognition		face_recognition
ffmpegfeed		ffmpegfeed
images		images
media		media
nginx		nginx
person_counter		person_counter
segmentation		segmentation
yolov5		yolov5
.env		.env
.gitignore		.gitignore
CHANGELOG.md		CHANGELOG.md
Dockerfile		Dockerfile
LICENSE		LICENSE
README.md		README.md
apitest.py		apitest.py
asdfadf		asdfadf
boothapi.py		boothapi.py
classes.txt		classes.txt
docker-compose.yml		docker-compose.yml
env.sample		env.sample
gunicorn-cfg.py		gunicorn-cfg.py
haarcascade_frontalface_default.xml		haarcascade_frontalface_default.xml
images.py		images.py
log.json		log.json
package.json		package.json
requirements.txt		requirements.txt
run.py		run.py
source.csv		source.csv
test.log		test.log
test.py		test.py
yolov5s.pt		yolov5s.pt

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