CV2-Yolov3

Hi Everyone!

Above are some really straightforward tutorials to get you started on building models for our lacry project (the first step).

We'll use the trained model to perform YOLO detection later.

More codes and tutorial are coming soon! Stay tuned!

Name		Name	Last commit message	Last commit date
Latest commit History 41 Commits
Lacry-64x3-CNN.model		Lacry-64x3-CNN.model
RotateWholeFolder		RotateWholeFolder
SimpleYOLORotator		SimpleYOLORotator
细胞追踪器Cell_tracker		细胞追踪器Cell_tracker
792020x.pickle		792020x.pickle
792020y.pickle		792020y.pickle
LacryProject.zip		LacryProject.zip
NewAnnotator.py		NewAnnotator.py
README.md		README.md
Tutorial2 Loading in your own data into CNN.ipynb		Tutorial2 Loading in your own data into CNN.ipynb
Tutorial3 Building the CNN model for the lacry project .ipynb		Tutorial3 Building the CNN model for the lacry project .ipynb
Tutorial4 Analyzing CNN model using TensorBoard.ipynb		Tutorial4 Analyzing CNN model using TensorBoard.ipynb
Tutorial6 How to use the trained model.ipynb		Tutorial6 How to use the trained model.ipynb
YOLOv5 Training.ipynb		YOLOv5 Training.ipynb
YOLO格式样本1.zip		YOLO格式样本1.zip
YOLO格式样本2.zip		YOLO格式样本2.zip
YOLO格式样本3.zip		YOLO格式样本3.zip
cell_counting_demo.avi		cell_counting_demo.avi
test1_result.mp4		test1_result.mp4
testYolo.ipynb		testYolo.ipynb
tutorial5 optimizing the CNN model .ipynb		tutorial5 optimizing the CNN model .ipynb
videoCategoryAnnotator_v2.py		videoCategoryAnnotator_v2.py

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