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Search results for deep learning mobilenet ssd
deep-learning
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mobilenet-ssd
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3 search results found
Mobilenet Ssd Realsense
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284
[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
Ssdmobilenet_coreml
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134
Real-time object-detection using SSD on Mobilenet on iOS using CoreML, exported using tf-coreml
Mobilenet Ssd
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84
MobileNet-SSD(MobileNetSSD) + Neural Compute Stick(NCS) Faster than YoloV2 + Explosion speed by RaspberryPi · Multiple moving object detection with high accuracy.
Mobilenet Ssdlite Realsense Tf
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43
RaspberryPi3(Raspbian Stretch) + MobileNetv2-SSDLite(Tensorflow/MobileNetv2SSDLite) + RealSense D435 + Tensorflow1.11.0 + without Neural Compute Stick(NCS)
Tensormonk
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20
A collection of deep learning models (PyTorch implemtation)
Tf Ssd
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6
Tensorflow 2 single shot multibox detector (SSD) implementation from scratch with MobileNetV2 and VGG16 backbones
Real Time Object Detection With Opencv
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5
This project aims to do real-time object detection through a laptop cam using OpenCV. The idea is to loop over each frame of the video stream, detect objects, and bound each detection in a box.
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