Hi !
After the events in Canada and USA, and several posts, I think it’s time to make a recap of the posts I’ve wrote about CustomVision.ai and how I created a custom object recognition project. And later used this as a web HTTP Endpoint in a Console application. And also in Windows 10 with ONNX using Windows ML; and finally running the Object Recognition project inside a Container in Docker on PC, Mac and Raspberry Pi.
- Object recognition with Custom Vision and ONNX in Windows applications using WinML
- Object recognition with Custom Vision and ONNX in Windows applications using WinML
- Object recognition with Custom Vision and ONNX in Windows applications using Windows ML, drawing frames
- Object recognition with Custom Vision and ONNX in Windows applications using Windows ML, calculate FPS
- Can’t install Docker on Windows 10 Home, need Pro or Enterprise
- Running a Custom Vision project in a local Docker Container
- Analyzing images in a Console App using a Custom Vision project in a Docker Container
- Analyzing images using PostMan from a Custom Vision project hosted in a Docker Container
- Building the CustomVision.ai project in Docker in a RaspberryPi
- Container dies immediately upon successful start in a RaspberryPi. Of course, it’s all about TensorFlow dependencies
- About ports, IPs and more to access a container hosted in a Raspberry Pi
- Average response times using a CustomVision.ai docker container in a RaspberryPi and a PC
Windows 10 and YOLOV2 for Object Detection Series
- Introduction to YoloV2 for object detection
- Create a basic Windows10 App and use YoloV2 in the camera for object detection
- Transform YoloV2 output analysis to C# classes and display them in frames
- Resize YoloV2 output to support multiple formats and process and display frames per second
- How to convert Tiny-YoloV3 model in CoreML format to ONNX and use it in a Windows 10 App
- Updated demo using Tiny YOLO V2 1.2, Windows 10 and YOLOV2 for Object Detection Series
- Alternatives to Yolo for object detection in ONNX format
Greetings @ Burlington
El Bruno