cv (yolov5)

program that can find patterns or make decisions from a previously unseen dataset.

Note: Drone Computer Vision Repo w/ Datasets

1 - Video/Roboflow: Gather images for dataset

Logo	Description
	We can film a video of the item we want to detect and then upload to Roboflow. On the Roboflow website, we can extract frames every X seconds to create a .jpg file each interval. Then we can begin labeling each image on Roboflow.

Roboflow is a website where you upload images, label them, and export a zip file (images & .xml files).

Useful to share dataset and have 3 people label at the same time

1.1 - Unlabeled Images to Labeled Images

Unlabled	Labeled (Desired Outcome)

---

2 - Colab: Train Custom Model

Logo	Description
	-The following website uses Python -here we set up libraries - collections of pre-written code that you can use to perform specific tasks -Prepare the dataset -Train the model -Evaluate the model performance with validation data -Export the model as .tflite file

Open up Google Colab for Yolov5 Training

Follow this video for more details

#made changes to /yolov5train/yolov5/dataset.yaml 
train: ../data/images/train/
val: ../data/images/valid/

# number of classes
nc: 1

# class names
names: ['Target']

3 - Export Model

#############################
#                           #
##         RESULTS         ##
#                           #
#############################

# 'download /yolov5/runs/train/exp/weights/best.pt'

Download the best.pt file to upload to Raspberry Pi.

Have a naming convention like '3-27-2024--300epochs-' Demo here

4 - Set up Pi - Installation

Python Library Versions located here

Ctrl + Alt + T
NOTE: (2:54) -click top left -preferences -raspberry pi configuration -tabs: interfaces -enable camera -reboot
uaYq12tCsfz3-hWdK8ivKExIY

5 - Run on Pi

Ctrl + Alt + T
(Note: if on virtual machine for testing): Devices > Webcams > Check Integrated cam box
Download your best.pt file after training, you can use Github or Google Drive
cd yolov5
cp ~/Downloads/best.pt .
gedit detect.py (Note: make sure you use correct naming convention) got to line 53 and type: weights = 'best.pt', go and comment line 54: weights = 'yolov5s.pt',
sudo python3 detect.py
sudo python3 detect.py --weights 3-27-13-best.pt --source 0 or sudo python3 detect.py --weights best.pt --source 0