Qt-GUI implementation of the YOLOv5 algorithm (ver.6 and ver.5)

EricFang

Last update: Dec 28, 2022

Related tags

Deep Learning YOLOv5-GUI

Overview

YOLOv5-GUI

🎉 YOLOv5算法(ver.6及ver.5)的Qt-GUI实现 🎉 Qt-GUI implementation of the YOLOv5 algorithm (ver.6 and ver.5).

基于YOLOv5的v5版本和v6版本及Javacr大佬的UI逻辑进行编写

提供深色浅色两个UI。

Provides dark and light UI.

Installation and use

1.Fetching projects from git

git clone https://github.com/cnyvfang/YOLOv5-GUI.git

2.Switching the operating directory to the project directory

cd [PyQt5-YOLOv5_V5/PyQt5-YOLOv5_V6]

3.Installation environment

pip install -r requirements.txt

4.Launching applications

python run.py

Attention

GUI默认为深色模式，你也可以通过在run.py的import中修改main_ui_dark为main_ui_light来让程序调整为浅色模式。

The GUI defaults to dark mode, you can also make the program adjust to light mode by changing main_ui_dark to main_ui_light in the import of run.py.

Reference

ultralytics/yolov5

Javacr/PyQt5-YOLOv5

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Comments

The code stop detecting after frame 105

i run the code V6 using local video the code runs well but it just stop detection after frame 105( i edit the code to check where it stooped) where is the problem

opened by totoadel 1
Solve the problem that the camera cannot output

https://github.com/cnyvfang/YOLOv5-GUI/blob/bb8ef15893f24b318a2876fd487c3a4b6f636ada/PyQt5-YOLOv5_V6/run.py#L85

change this code to dataset = LoadWebcam(pipe='0', img_size=imgsz, stride=stride)

opened by XTWLP 0

when i use camera i got this error

Thanks for your work i try v6 when i run the code using camer i got this error

`Fusing layers...
Model Summary: 213 layers, 1769989 parameters, 0 gradients, 4.2 GFLOPs
1/1: 0...  Success (inf frames 640x480 at 30.00 FPS)


Traceback (most recent call last):
  File "C:\Program Files\Python38\lib\site-packages\torch\autograd\grad_mode.py", line 28, in decorate_context
    return func(*args, **kwargs)
  File "run2.py", line 120, in run
    annotator = Annotator(im0, line_width=line_thickness, example=str(names))
  File "D:\python_work\GUI\orginal\PyQt5-YOLOv5_V6\utils\plots.py", line 74, in __init__
    assert im.data.contiguous, 'Image not contiguous. Apply np.ascontiguousarray(im) to Annotator() input images.'
AttributeError: 'list' object has no attribute 'data`

opened by totoadel 5

Owner

EricFang

Coding the world.

GitHub

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Qt-GUI implementation of the YOLOv5 algorithm (ver.6 and ver.5)

Related tags

Overview

YOLOv5-GUI

Installation and use

Attention

Reference

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Comments

The code stop detecting after frame 105

Solve the problem that the camera cannot output

when i use camera i got this error

Owner

EricFang

🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 1.7M (int8) and 3.3M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~

Multi-task yolov5 with detection and segmentation based on yolov5

TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-Captured Scenarios

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

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