# yolov8-object-tracking
#### [ultralytics==8.0.0]
### Features
- Object Tracks
- Different Color for every track
- Video/Image/WebCam/External Camera/IP Stream Supported
### Coming Soon
- Selection of specific class ID for tracking
- Development of dashboard for YOLOv8
### Train YOLOv8 on Custom Data
- https://chr043416.medium.com/train-yolov8-on-custom-data-6d28cd348262
### Steps to run Code
- Clone the repository
```
https://github.com/RizwanMunawar/yolov8-object-tracking.git
```
- Goto cloned folder
```
cd yolov8-object-tracking
```
- Install the ultralytics package
```
pip install ultralytics==8.0.0
```
- Do Tracking with mentioned command below
```
#video file
python yolo\v8\detect\detect_and_trk.py model=yolov8s.pt source="test.mp4" show=True
#imagefile
python yolo\v8\detect\detect_and_trk.py model=yolov8m.pt source="path to image"
#Webcam
python yolo\v8\detect\detect_and_trk.py model=yolov8m.pt source=0 show=True
#External Camera
python yolo\v8\detect\detect_and_trk.py model=yolov8m.pt source=1 show=True
```
- Output file will be created in the working-dir/runs/detect/train with original filename
### Results
<table>
<tr>
<td>YOLOv8s Object Tracking</td>
<td>YOLOv8m Object Tracking</td>
</tr>
<tr>
<td><img src="https://user-images.githubusercontent.com/62513924/211671576-7d39829a-f8f5-4e25-b30a-530548c11a24.png"></td>
<td><img src="https://user-images.githubusercontent.com/62513924/211672010-7415ef8b-7941-4545-8434-377d94675299.png"></td>
</tr>
</table>
### References
- https://github.com/abewley/sort
- https://github.com/ultralytics/ultralytics
### My Articles
- https://muhammadrizwanmunawarvisionai.blogspot.com/2023/04/maximizing-efficiency-on-construction.html ð¥
- https://muhammadrizwanmunawarvisionai.blogspot.com/2023/03/instance-segmentation-vs-semantic.html â
- https://muhammadrizwanmunawarvisionai.blogspot.com/2023/03/mastering-image-classification.html ð¥
- https://muhammadrizwanmunawarvisionai.blogspot.com/2023/03/object-detection-in-agriculture.html â
- https://muhammadrizwanmunawarvisionai.blogspot.com/2023/03/techniques-for-accurate-data-annotation.html â
- https://muhammadrizwanmunawarvisionai.blogspot.com/2023/03/object-tracking-using-bytetrack.html ð¥
- https://muhammadrizwanmunawarvisionai.blogspot.com/2023/03/pose-estimation-computer-vision.html â
- https://chr043416.medium.com/train-yolov8-on-custom-data-6d28cd348262
- https://medium.com/augmented-startups/roadmap-for-computer-vision-engineer-45167b94518c
- https://medium.com/augmented-startups/yolor-or-yolov5-which-one-is-better-2f844d35e1a1
- https://medium.com/augmented-startups/train-yolor-on-custom-data-f129391bd3d6
- https://medium.com/augmented-startups/develop-an-analytics-dashboard-using-streamlit-e6282fa5e0f
<a href= "https://www.linkedin.com/posts/muhammadrizwanmunawar_yolov8-aiinnovation-computervision-activity-7018504358329790465-qmde?utm_source=share&utm_medium=member_desktop">LinkedIn Post on YOLOv8 Release</a>
Don't forget to check out my <a href= "https://muhammadrizwanmunawar.com/">Services</a>
For more details, you can reach out to me on [Medium](https://chr043416.medium.com/) or can connect with me on [LinkedIn](https://www.linkedin.com/in/muhammadrizwanmunawar/)
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基于yolov8实现进行物体跟踪源码.zip
共78个文件
py:52个
yaml:18个
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基于yolov8实现进行物体跟踪源码.zip基于yolov8实现进行物体跟踪源码.zip基于yolov8实现进行物体跟踪源码.zip基于yolov8实现进行物体跟踪源码.zip基于yolov8实现进行物体跟踪源码.zip基于yolov8实现进行物体跟踪源码.zip基于yolov8实现进行物体跟踪源码.zip基于yolov8实现进行物体跟踪源码.zip基于yolov8实现进行物体跟踪源码.zip基于yolov8实现进行物体跟踪源码.zip基于yolov8实现进行物体跟踪源码.zip基于yolov8实现进行物体跟踪源码.zip
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基于yolov8实现进行物体跟踪源码.zip (78个子文件)
code
__init__.py 94B
nn
__init__.py 0B
autobackend.py 20KB
modules.py 30KB
tasks.py 18KB
requirements.txt 1KB
models
v8
yolov8m.yaml 1KB
yolov8x.yaml 1KB
yolov8x6.yaml 2KB
yolov8n.yaml 1KB
yolov8l.yaml 1KB
yolov8s.yaml 1KB
README.md 3KB
yolo
data
utils.py 13KB
__init__.py 268B
dataset_wrappers.py 1KB
dataset.py 10KB
datasets
Argoverse.yaml 3KB
coco128.yaml 2KB
VisDrone.yaml 3KB
ImageNet.yaml 19KB
xView.yaml 5KB
SKU-110K.yaml 2KB
coco.yaml 3KB
VOC.yaml 4KB
images
zidane.jpg 165KB
bus.jpg 476KB
GlobalWheat2020.yaml 2KB
coco128-seg.yaml 2KB
Objects365.yaml 9KB
dataloaders
__init__.py 0B
v5loader.py 55KB
v5augmentations.py 17KB
stream_loaders.py 11KB
build.py 5KB
augment.py 31KB
base.py 9KB
scripts
get_imagenet.sh 2KB
get_coco.sh 2KB
get_coco128.sh 630B
download_weights.sh 657B
configs
__init__.py 1KB
hydra_patch.py 4KB
default.yaml 5KB
utils
checks.py 10KB
__init__.py 14KB
loss.py 2KB
metrics.py 23KB
instance.py 11KB
files.py 4KB
dist.py 2KB
tal.py 10KB
ops.py 25KB
callbacks
__init__.py 64B
comet.py 2KB
clearml.py 2KB
tensorboard.py 752B
hub.py 3KB
base.py 3KB
downloads.py 6KB
plotting.py 14KB
torch_utils.py 16KB
autobatch.py 3KB
engine
__init__.py 0B
sort.py 13KB
trainer.py 25KB
predictor.py 12KB
exporter.py 40KB
model.py 8KB
validator.py 9KB
cli.py 2KB
v8
__init__.py 283B
detect
__init__.py 180B
sort.py 13KB
detect_and_trk.py 5KB
predict.py 4KB
val.py 12KB
train.py 10KB
共 78 条
- 1
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