# yolov5-Binocular camera-distance count-ranging
## yolov5
All project is based on yolov5 ===>[https://github.com/ultralytics/yolov5](https://github.com/ultralytics/yolov5)<br>
And I put weight(yolov5s.pt) inside.
## version
I chose the v3.1 version, but this project is just a matter of adding a few .py files, whatever version will do (at least for now).
## HOW TO USE
I add three files in origin "yolov5" --->
camera_config.py
dis_count.py
video_remain.py
|Files|instructions|
|----|----|
|camera_config.py|Binocular camera parameters|
|dis_count.py|Depth map, distance matrix|
|video_remain.py|main|
## RESULT
|DEVICEE|FPS|
|----|----|
|1650|20|
|TX2|12|
|NX|15|
JUST RUN video_remain.py and you can get what you want.
if this project can help you, give me a star,plzzzzzz!
yolov5项目-使用yolov5实现双目摄像头测距功能-优质项目实战-附测距效果展示.zip
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2024-01-22
11:45:14
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yolov5项目-使用yolov5实现双目摄像头测距功能-优质项目实战-附测距效果展示.zip （104个子文件） 
events.out.tfevents.1615345259.LAPTOP-TE8LNL12.15748.0 40B events.out.tfevents.1615345132.LAPTOP-TE8LNL12.8492.0 40B events.out.tfevents.1615345024.LAPTOP-TE8LNL12.14952.0 40B events.out.tfevents.1615345337.LAPTOP-TE8LNL12.20304.0 40B Dockerfile 821B tutorial.ipynb 381KB
03.jpg 669KB bus.jpg 480KB bus.jpg 477KB 1.jpg 452KB 01.jpg 438KB 02.jpg 371KB 04.jpg 344KB 05.jpg 268KB zidane.jpg 249KB zidane.jpg 246KB z.jpg 90KB z.jpg 88KB z.jpg 82KB z.jpg 81KB z.jpg 32KB README.md 787B
WeChat_20201201215407.mp4 4.47MB
1.png 822KB 3.png 341KB 2.png 83KB yolov5s.pt 14.48MB datasets.py 39KB train.py 30KB general.py 18KB test.py 15KB plots.py 15KB video.py 13KB yolo.py 12KB common.py 10KB torch_utils.py 9KB loss.py 8KB detect.py 8KB metrics.py 8KB dis_count.py 8KB autoanchor.py 7KB video_remain.py 7KB experimental.py 6KB google_utils.py 5KB hubconf.py 4KB export.py 4KB activations.py 2KB camera_configs.py 2KB __init__.py 0B __init__.py 0B datasets.cpython-37.pyc 28KB datasets.cpython-38.pyc 28KB plots.cpython-37.pyc 14KB plots.cpython-38.pyc 14KB general.cpython-38.pyc 14KB general.cpython-37.pyc 13KB common.cpython-37.pyc 12KB common.cpython-38.pyc 12KB test.cpython-38.pyc 10KB yolo.cpython-38.pyc 10KB torch_utils.cpython-38.pyc 9KB torch_utils.cpython-37.pyc 9KB experimental.cpython-37.pyc 7KB metrics.cpython-38.pyc 7KB metrics.cpython-37.pyc 7KB experimental.cpython-38.pyc 6KB autoanchor.cpython-38.pyc 6KB loss.cpython-38.pyc 5KB google_utils.cpython-38.pyc 3KB google_utils.cpython-37.pyc 3KB dis_count.cpython-37.pyc 2KB dis_count.cpython-38.pyc 1KB camera_configs.cpython-38.pyc 1KB camera_configs.cpython-37.pyc 1KB __init__.cpython-38.pyc 145B __init__.cpython-38.pyc 144B __init__.cpython-37.pyc 141B __init__.cpython-37.pyc 140B get_voc.sh 4KB get_coco.sh 935B download_weights.sh 228B
requirements.txt 598B additional_requirements.txt 105B coco.yaml 2KB hyp.scratch.yaml 2KB coco128.yaml 1KB yolov3-spp.yaml 1KB yolov5-panet.yaml 1KB yolov5m.yaml 1KB yolov5s.yaml 1KB yolov5x.yaml 1KB yolov5l.yaml 1KB yolov5-fpn.yaml 1KB hyp.finetune.yaml 846B voc.yaml 735B opt.yaml 526B opt.yaml 525B opt.yaml 525B opt.yaml 525B hyp.yaml 356B共 104 条
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