While I'm training I'am adding new things attempting don't spoil the training. Now I can set any layer to be used as input or output and continue receiving or sending by TCP. Also I can create new layers, connect them... Now I'm showing the inference...
A test model with 100 images showed efficientdet_lite1 runs at 4.5fps on the raspberry pi 4b, which should rise to 5.8 after overclocking. Efficientdet_lite2 runs at 3fps. There is a linear relationship between the size of the .tflite files...
Fun fact: Everyone seems to be nuts over machine learning, but almost no one gathers their own data. My training utility isn't technically sophisticated - just Tkinter, Pillow, Numpy, and Pyserial - but apparently most ML enthusiasts haven't needed to...
After uploading 2067 image sets to AWS, training results look very promising, with good convergence at 100 epochs. Total time to rain = 2 hours. I took the trouble to photograph the swedelings at different ranges, so that some will have intricate detail,...
An essential part of the Guardmypi project is facial recognition allowing the system to distinguish between residents and intruders. The first method of facial recognition being tested utilises the HAAR Cascade, a machine learning-based approach where...
With this device and its current coding. I turn the device on once a day for 30 minutes to an hour. After 9 days. We observered that when the goldfish hits the feeder bar it then points its toward the area of the tank that the food drops down into the...
This Friday I'm going through a half day course on performing LIDAR surveys. Following that up with 8 hours of survey experience over the weekend. Time get get legitamate. Up until now I've just been helping a surveyor and watching over his shoulder....
The next step was training it on animorphic lion video. The tool for scaling to 640x640 & labeling the training images is truckcam/label.py. The tool for running tflite_model_maker is truckcam/model_maker2.py Efficientdet_lite4 is a lot slower...
This log discusses how the CNNs where trained for my system and what data was used, as well as describing the data collection and augmentation process. Five convolutional neural networks are at the heart of the high-level control of the hand prototype....