TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi
TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi copied to clipboard
A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!
Hello, I wanna train my custom model that only detect persons. Python file(train.py) successfully works, but loss is not. Now, it is over 140,000 steps, loss is still over 2.(Sometimes...
I was wondering if you could direct me to using your tutorial with an existing video stream. I have a webcam running on the Pi - Is there a way...
Hey! I was wondering if there is a way to integrate tracking into this. I have found some repositories about tracking off the MS COCO dataset, but I am looking...
I followed the guide exactly, installed Microsoft Build Tools 2015 Update 3, and also the Microsoft Visual C++ 2015 Redistributable Update 3. Tensorflow version is also the same(1.13) Now during...
Hi, I've install Tensorflow lite using you very well detailed guide, thank you for that. it is possible to connect to them hikvision my link i use within home assistant...
Hi, when I downloaded the ssd_mobilenet_v2_quantized_300x300_coco_2019_01_03 model, there is no model.ckpt file. file list: model.ckpt.data-00000-of-00001 model.ckpt.index model.ckpt.meta pipeline.config tflite_graph.pb tflite_graph.pbtxt From where I can get this file?
I have deployed the object detection model to the raspberry pi, but the FPS is still small. How do I increase the FPS so that the model can be used...
I want to deploy my detection object model to jetson nano but there is no good tutorial to follow. i tried to follow the raspberry pi tutorial but it didn't...
This will solve the issue I had ""IndexError: child index out of range " Edit: for member in root.findall('object'): value = (root.find('filename').text, int(root.find('size').find('width').text), int(root.find('size').find('height').text), member[0].text, int(member.find("bndbox").find('xmin').text), int(member.find("bndbox").find('ymin').text), int(member.find("bndbox").find('xmax').text), int(member.find("bndbox").find('ymax').text) )
Hello mantainers, the `calculate_map_cartucho.py` script doesn't work if already exist a `/content/mAP/outputs` file. This change remove this output before running the script for the quantized model.