# Python-Yolov5-Detection-and-recognition-of-apple-fruit
🔥🔥🔥Python+Yolov5苹果水果侦测识别Detection and recognition of apple or fruit
程序示例精选
Python+Yolov5苹果水果检测识别
## 前言
这篇源码针对<<Python+Yolov5苹果水果检测识别>>编写代码，代码整洁，规则，易读。 学习与应用推荐首选。
## 运行环境
编程语言：Python3
依赖库：Torch, Yolov5
## 运行效果
<img src="https://github.com/alicema-creator/Python-Yolov5-Detection-and-recognition-of-apple-fruit/blob/main/screenshot/1.png" width="500"></a>
<img src="https://github.com/alicema-creator/Python-Yolov5-Detection-and-recognition-of-apple-fruit/blob/main/screenshot/2.png" width="500"></a>
<img src="https://github.com/alicema-creator/Python-Yolov5-Detection-and-recognition-of-apple-fruit/blob/main/screenshot/3.png" width="500"></a>
<img src="https://github.com/alicema-creator/Python-Yolov5-Detection-and-recognition-of-apple-fruit/blob/main/screenshot/4.jpg" width="500"></a>
## 在线协助
如需安装运行环境或远程调试，可扫码加Q，由专业技术人员远程协助！
1）远程安装运行环境，代码调试
2）Qt, C++, Python入门指导
3）界面美化
4）软件制作
基于YOLOV5的苹果水果检测识别Python源码+文档说明+效果演示 （171个子文件） 
Dockerfile 2KB Dockerfile 2KB Dockerfile 821B Dockerfile 821B
4.jpg 309KB 4.jpg 309KB zidane.jpg 246KB zidane.jpg 246KB zidane.jpg 165KB zidane.jpg 165KB README.md 1KB
2.png 480KB 2.png 480KB 1.png 409KB 1.png 409KB 3.png 356KB 3.png 356KB qrcode.png 47KB qrcode.png 47KB datasets.py 43KB datasets.py 43KB general.py 23KB general.py 23KB plots.py 18KB plots.py 18KB common.py 13KB common.py 13KB yolo.py 12KB yolo.py 12KB torch_utils.py 12KB torch_utils.py 12KB loss.py 9KB loss.py 9KB metrics.py 9KB metrics.py 9KB detect_camera.py 8KB detect_photo.py 8KB detect_photo.py 7KB detect_camera.py 7KB autoanchor.py 7KB autoanchor.py 7KB wandb_utils.py 7KB wandb_utils.py 7KB hubconf.py 5KB hubconf.py 5KB experimental.py 5KB experimental.py 5KB google_utils.py 5KB google_utils.py 5KB export.py 4KB export.py 4KB activations.py 2KB activations.py 2KB log_dataset.py 2KB log_dataset.py 2KB resume.py 1KB resume.py 1KB __init__.py 0B __init__.py 0B __init__.py 0B __init__.py 0B __init__.py 0B __init__.py 0B __init__.py 0B __init__.py 0B datasets.cpython-37.pyc 33KB datasets.cpython-37.pyc 33KB datasets.cpython-38.pyc 33KB datasets.cpython-38.pyc 33KB general.cpython-38.pyc 19KB general.cpython-38.pyc 19KB general.cpython-37.pyc 19KB general.cpython-37.pyc 19KB plots.cpython-37.pyc 16KB plots.cpython-37.pyc 16KB plots.cpython-38.pyc 15KB plots.cpython-38.pyc 15KB common.cpython-37.pyc 15KB common.cpython-37.pyc 15KB common.cpython-38.pyc 14KB common.cpython-38.pyc 14KB torch_utils.cpython-38.pyc 11KB torch_utils.cpython-38.pyc 11KB torch_utils.cpython-37.pyc 11KB torch_utils.cpython-37.pyc 11KB yolo.cpython-38.pyc 10KB yolo.cpython-38.pyc 10KB yolo.cpython-37.pyc 10KB yolo.cpython-37.pyc 10KB metrics.cpython-37.pyc 8KB metrics.cpython-37.pyc 8KB metrics.cpython-38.pyc 7KB metrics.cpython-38.pyc 7KB autoanchor.cpython-37.pyc 6KB autoanchor.cpython-37.pyc 6KB autoanchor.cpython-38.pyc 6KB autoanchor.cpython-38.pyc 6KB experimental.cpython-37.pyc 6KB experimental.cpython-37.pyc 6KB experimental.cpython-38.pyc 6KB共 171 条
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资源评论
Simons_liang2024-05-08资源内容详实，描述详尽，解决了我的问题，受益匪浅，学到了。
