My research direction during my postgraduate period is machine learning and artificial intelligence, and the specific direction is image classification and object detection in computer vision. This blog will record the process of learning computer vision during my postgraduate period, and also remind myself to keep learning and make breakthroughs. I hope everyone Can encourage each other.
At the same time, I have simultaneously recorded my learning history on station B. The following is my station B channel: https://space.bilibili.com/329950835?spm_id_from=333.1007.0.0
for everyone to study and discuss together!
I will follow the steps below to learn computer vision technology, and I also hope that everyone can study with me, discuss together, encourage each other, and grow together!
Python learning articles
- For an introduction to Python , you can watch related videos on station B.
- The Python environment is built , and you can watch the related videos of station B.
- Download and install Python IDE , and watch related videos on station B.
- …
Traditional computer vision OpenCV articles
- Introduction to opencv-python
- …
Deep Learning Computer Vision
- image classification
- Target Detection
- semantic segmentation
- …
These learning processes are all searched and sorted out by myself. Maybe due to the pressure of study and work, the update is not so timely, but it will definitely be updated continuously, so the update efficiency is low. Please forgive me. If you have any questions, you are welcome to leave a message to discuss, and I will have time to read the replies one by one!