Background I have had 2 different object detection projects on hand lately, and the manual annotation of data from scratch have been a frustrating task One platform I used is the website MakeSense, that’s a very good project that the image annotation is run on browser directly. The problem of such…

Background Given the previous experience on using YOLOv8 on Android through converting it from ONNX exported => Tensroflow => Tensorflow Lite (plus the realization on ditching tflite support object detection API and use plaint interpretor), there are following items that I am wondering if directly using PyTorch mobile would be a…

Background In my previous article, I have been working on converting the Ultralytics YOLOv8 nano model into ONNX model with adding of non max suppression (NMS)operation, by “stitching” a ONNX NMS graph node in the original YOLOv8 nano converted model, plus adding another PyTorch model that particularly transform the “selected indices”…

Background Following my previous post on exploring YOLOv8, I have been stuck at using the YOLOv8 model other than PyTorch, because the direct export model give result of dimension like [batch size, 5, 8400], which does encapsulated the result of overlapped bounding boxes and confidence score. But using this result in…

Background I have been exploring to train an computer vision object detection model and put into an Android device, the last time I have been exploring YOLOv7: Journey putting YOLO v7 model into TensorFlow Lite (Object Detection API) model running on Android Forewordsmedium.com Given YOLOv8 is out, I would like to see if there are any benefit to use YOLOv8 instead of YOLOv7. The flow and criterions

Background Following my previous post on inspecting backtrace message to see why the ESP32 crashed and reboot: Inspebacktrace / stack trace after ESP32 using espressif xtensa toolchain Backgroundstephencowchau.medium.com It’s very ineffective to trace 1 memory address at a time, so I wrote a powershell script for doing so, script as follow: To run the script, get to the location where the firmware.elf exist, which for PlatformIO, it’s your default Project folder > Project Name > .pio > build > (your env name, likely the board name, e.g. “nodemcu-32s”)

Background While developing on ESP32 is challenging without debugging tools, I finally have access to a debugging tool, the ESP-Prog. There have been some challenges for wiring the ESP-Prog with the AI thinker ESP32-CAM MCU, with helps from some great articles on the web as well as some trial and error…

Background Lately working on a microcontroller project to have an AI-Thinker ESP32-CAM to provide video streaming, plus allowing remote OTA update of firmware (by listening to MQTT message). Given the limited resources on the ESP-32, I would like to shut down the HTTP server to release resources (mainly memory) before OTA…

Background There is this react native project I am working on, which is as follow: React Native 0.67 (ejected) Expo SDK 40 React 16.13.1 Targeting Android SDK 30 Targeting iOS 11 The ejected expo plus the older react native package had introduced some problem like newer packages would have conflict with…