基于yolov9实现目标追踪和计数源码.zip_yolov9目标追踪资源-CSDN文库

共116个文件

py：76个

pyc：17个

yaml：16个

版权申诉

185 浏览量 2024-05-15 11:33:19 上传评论收藏 3.66MB ZIP 举报

资源推荐

资源详情

资源评论

收起资源包目录

基于yolov9实现目标追踪和计数源码.zip （116个子文件）

optimizer_config.json 3KB

README.md 736B

www.pyresearch.com.png 1.38MB

obejct.png 1.38MB

performance.png 398KB

dataloaders.py 56KB

common.py 53KB

general.py 47KB

yolo.py 38KB

loss_tal_dual.py 35KB

train.py 35KB

train_dual.py 34KB

train.py 34KB

train_triple.py 34KB

train.py 34KB

val.py 30KB

wandb_utils.py 28KB

tf.py 27KB

plots.py 25KB

torch_utils.py 23KB

val.py 23KB

dataloaders.py 21KB

val_dual.py 20KB

val_triple.py 19KB

val.py 19KB

__init__.py 19KB

loss_tal_dual.py 18KB

augmentations.py 17KB

__init__.py 17KB

train.py 16KB

loss.py 16KB

metrics.py 16KB

dataloaders.py 14KB

loss_tal_triple.py 14KB

loss_tal.py 13KB

predict.py 13KB

loss_tal.py 12KB

predict.py 11KB

loss_tal.py 10KB

loss.py 9KB

assigner.py 8KB

metrics.py 8KB

assigner.py 8KB

val.py 8KB

YOLOv9_Object_Detection_Tracking_and_Counting.py 8KB

augmentations.py 8KB

clearml_utils.py 8KB

autoanchor.py 7KB

plots.py 7KB

hpo.py 7KB

plots.py 6KB

metrics.py 5KB

hpo.py 5KB

general.py 5KB

comet_utils.py 5KB

downloads.py 5KB

experimental.py 4KB

augmentations.py 4KB

triton.py 4KB

activations.py 3KB

autobatch.py 3KB

callbacks.py 3KB

lion.py 3KB

__init__.py 2KB

anchor_generator.py 2KB

sweep.py 1KB

log_dataset.py 1KB

__init__.py 6B

common.cpython-311.pyc 104KB

dataloaders.cpython-311.pyc 88KB

general.cpython-311.pyc 77KB

yolo.cpython-311.pyc 77KB

plots.cpython-311.pyc 45KB

torch_utils.cpython-311.pyc 38KB

augmentations.cpython-311.pyc 28KB

metrics.cpython-311.pyc 25KB

experimental.cpython-311.pyc 9KB

general.cpython-311.pyc 8KB

downloads.cpython-311.pyc 8KB

__init__.cpython-311.pyc 4KB

lion.cpython-311.pyc 4KB

anchor_generator.cpython-311.pyc 3KB

__init__.cpython-311.pyc 164B

__init__.cpython-311.pyc 160B

__init__.cpython-311.pyc 157B

get_coco.sh 842B

requirements.txt 1KB

共 116 条

# Track & Count Objects using YOLOv9 & Supervision ð Exciting News in Computer Vision! ð¤â¨ Check out our latest project on Detection, Tracking, and Counting with YOLOv9 and Supervision! ð¥ð ð Features: 1ï¸â£ Object detection with YOLOv9 2ï¸â£ Real-time object tracking 3ï¸â£ Object counting, including selective area counting 4ï¸â£ Extending Supervision's Detections for YOLOv9 results 5ï¸â£ Video annotation and processing techniques ### Watch the Complete Step by Step Explanation [![Watch the video](https://github.com/noorkhokhar99/Detection-Tracking-and-Counting-with-YOLOv9-and-Supervision/blob/main/www.pyresearch.com.png)](https://www.youtube.com/@Pyresearch/videos)

评论收藏

内容反馈

版权申诉