Learning about SSD and Mobilenets
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Updated
Jan 6, 2018 - Jupyter Notebook
Learning about SSD and Mobilenets
install script and example for clCaffe which will run caffe by OpenCL (this is for https://github.com/01org/caffe/tree/inference-optimize)
realtime object detection using VOC dataset
Mobilenet SSD based pedestrian detection
Used Tensorflow's MobileNet model for image classification. This project was built to classify the different clothing entities into 9 different categories.
Implementation of an object detection algorithm in an android studio emulator using mobileNet neural network
CNN Object Detection (MobileNet) , Dehazing (AOD-NET) on Caffe,UP Square Board, Movidus Neural Compute Stick.
Real-time object-detection using SSD on Mobilenet on iOS using CoreML, exported using tf-coreml
Spring 2018 - 10.009 Digital World 1D Project
MobileNet-SSD(MobileNetSSD) + Neural Compute Stick(NCS) Faster than YoloV2 + Explosion speed by RaspberryPi · Multiple moving object detection with high accuracy.
RaspberryPi3(Raspbian Stretch) + MobileNetv2-SSDLite(Tensorflow/MobileNetv2SSDLite) + RealSense D435 + Tensorflow1.11.0 + without Neural Compute Stick(NCS)
D3: Deep Dice Detector is an implementation of dice detection and top surface number recognition.
AR.Drone 2.0 human tracking with Mobilenet-SSD and PID control
About object detection(mobileNet-ssd) tensorflow/language:c++
TensorFlow Lite object detection example for Raspberry Pi Zero
[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering
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