People-Counting-in-Real-Time
SSD-pytorch
| People-Counting-in-Real-Time | SSD-pytorch | |
|---|---|---|
| 2 | 6 | |
| 471 | 159 | |
| - | - | |
| 5.2 | 0.0 | |
| 9 months ago | about 3 years ago | |
| Python | Python | |
| MIT License | MIT License |
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People-Counting-in-Real-Time
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Building an occupancy sensor with a $5 ESP32 and a serverless DB
And with more of these, you could track where everyone is all the time!
Here's a camera based video people counter.[1] This is a bit less intrusive.
[1] https://github.com/saimj7/People-Counting-in-Real-Time
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Error when trying to install dlib using "pip install dlib"
I'm trying to install dlib using "pip install dlib" for this code: https://github.com/saimj7/People-Counting-in-Real-Time Because when I try to run it I get this error: ModuleNotFoundError: No module named 'dlib'
SSD-pytorch
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Minimal implementation of SSD: Single Shot MultiBox Detector
Source code: https://github.com/uvipen/SSD-pytorch
Source code: https://github.com/uvipen/SSD-pytorch
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My minimal implementation of SSD: Single Shot MultiBox Detector
Source code: https://github.com/uvipen/SSD-pytorch
What are some alternatives?
ESP32-Paxcounter - Wifi & BLE driven passenger flow metering with cheap ESP32 boards
a-PyTorch-Tutorial-to-Object-Detection - SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
humanbenchmark - Memory tests solver with using OpenCV
faceswap - Deepfakes Software For All
libblepp - Modern clean C++ Bluetooth Low Energy on Linux without the Bluez DBUS API
DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.
CameraObscura - IP Cam Honeypot
ssd_keras - A Keras port of Single Shot MultiBox Detector
szabadfogasu-maszk - A face mask detection system using Tensorflow/Keras and OpenCV, for the "<19 Szabadfogású Számítógép" competition in 2020.
torchsde - Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
smart-sec-cam - A privacy-focused, intelligent security camera system.
pytorch-efficientdet-api - A PyTorch EfficientDet API for easy training and inference on custom datasets.