An iOS application of Tensorflow Object Detection with different models: SSD with Mobilenet, SSD with InceptionV2, Faster-RCNN-resnet101
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Updated
Jan 12, 2018 - C++
An iOS application of Tensorflow Object Detection with different models: SSD with Mobilenet, SSD with InceptionV2, Faster-RCNN-resnet101
A real-time object detection app based on lightDenseYOLO Our lightDenseYOLO is the combination of two components: lightDenseNet as the CNN feature extractor and YOLO v2 as the detection module
Android pet detector with tensorflow models
TensorFlow Lite object detection example for Raspberry Pi 2+
Repo for the image processing and obstacle detection for the autonomous boat Gaia
TensorFlow Lite object detection example for Raspberry Pi Zero
Envision the present
TensorFlow Lite SSD on a Jetson Nano 28.5 FPS
TensorFlow Lite SSD on a bare Raspberry Pi 4 at 17 FPS
TensorFlow Lite SSD on bare Raspberry Pi 4 with 64-bit OS at 24 FPS
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