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  • training test

  • I think I have fixed up some errors I had. I'm testing but if problems persist then I'm going to try pytorch C++ too
  • training continue

  • 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...
  • Training efficientdet_lite1

  • 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...
  • Training Day

  • 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...
  • Facial Recognition Classifier Training

  • 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...
  • Training Fish is easy!

  • 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...
  • LIDAR training and certification

  • 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....
  • Training efficientdet-lite4

  • 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...
  • Training A Vision Model

  • I wanted to build my own vision model for a few reasons: I wanted to learn howIn my limited experience with OpenALPR, it looked like it was missing some license plates that seemed fairly readable to my eyes – could I possibly do better training my own...
  • Training an efficientdet_lite0 model

  • The journey began with downloading a new dataset from the goog. https://voxel51.com/docs/fiftyone/tutorials/open_images.html For some reason, the data set is intended to be downloaded & viewed by running commands from the python console.  Helas,...
  • Training automl efficientdet-lite4

  • 1 idea was running efficientlion-lite4.onnx in the 32 bit tensorflow backend, extracting the computed value of K & using graphsurgeon to insert it back in.  If there was a way to precompute K, polygraphy should have already done it. 1 idea was using...