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Title: GitHub - Qengineering/Qengineering: Machine vision apps

Open Graph Title: GitHub - Qengineering/Qengineering: Machine vision apps

X Title: GitHub - Qengineering/Qengineering: Machine vision apps

Description: Machine vision apps. Contribute to Qengineering/Qengineering development by creating an account on GitHub.

Open Graph Description: Machine vision apps. Contribute to Qengineering/Qengineering development by creating an account on GitHub.

X Description: Machine vision apps. Contribute to Qengineering/Qengineering development by creating an account on GitHub.

Opengraph URL: https://github.com/Qengineering/Qengineering

X: @github

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https://patch-diff.githubusercontent.com/Qengineering/Qengineering#table-of-contents
https://patch-diff.githubusercontent.com/Qengineering/Qengineering#ai
Qwen3-2Bhttps://github.com/Qengineering/Qwen3-VL-2B-NPU
Qwen3-4Bhttps://github.com/Qengineering/Qwen3-VL-4B-NPU
InternVL3.5-1Bhttps://github.com/Qengineering/InternVL3.5-1B-NPU
InternVL3.5-2Bhttps://github.com/Qengineering/InternVL3.5-2B-NPU
InternVL3.5-4Bhttps://github.com/Qengineering/InternVL3.5-4B-NPU
InternVL3.5-8Bhttps://github.com/Qengineering/InternVL3.5-8B-NPU
Qwen2.5-3Bhttps://github.com/Qengineering/Qwen2.5-VL-3B-NPU
Qwen2-7Bhttps://github.com/Qengineering/Qwen2-VL-7B-NPU
Qwen2-2.2Bhttps://github.com/Qengineering/Qwen2-VL-2B-NPU
InternVL3-1Bhttps://github.com/Qengineering/InternVL3-NPU
SmolVLM2-2.2Bhttps://github.com/Qengineering/SmolVLM2-2B-NPU
SmolVLM2-500Mhttps://github.com/Qengineering/SmolVLM2-500M-NPU
SmolVLM2-256Mhttps://github.com/Qengineering/SmolVLM2-256M-NPU
https://patch-diff.githubusercontent.com/Qengineering/Qengineering#deep-learning
TensorFlow Lite Raspberry Pi zerohttps://github.com/Qengineering/TensorFlow_Lite_Classification_RPi_zero
TensorFlow Lite Raspberry Pi 32https://github.com/Qengineering/TensorFlow_Lite_Classification_RPi_32-bits
TensorFlow Lite Raspberry Pi 64https://github.com/Qengineering/TensorFlow_Lite_Classification_RPi_64-bits
TensorFlow Lite Jetson Nanohttps://github.com/Qengineering/TensorFlow_Lite_Classification_Jetson-Nano
ncnn ShuffleNetV2 Raspberry Pihttps://github.com/Qengineering/ShuffleNetV2-ncnn
ncnn SqueezeNet Raspberry Pihttps://github.com/Qengineering/SqueezeNet-ncnn
TensorFlow Lite Raspberry Pi 32https://github.com/Qengineering/TensorFlow_Lite_SSD_RPi_32-bits
TensorFlow Lite Raspberry Pi 64https://github.com/Qengineering/TensorFlow_Lite_SSD_RPi_64-bits
OpenCV MobileNetV1_SSD Caffe Raspberry Pi 64https://github.com/Qengineering/MobileNetV1_SSD_OpenCV_Caffe
OpenCV MobileNetV1_SSD TensorFlow Raspberry Pi 64https://github.com/Qengineering/MobileNet_SSD_OpenCV_TensorFlow
ncnn Rfcn Raspberry Pi 64https://github.com/Qengineering/Rfcn_ncnn
ncnn Faster RCNN Raspberry Pi 64https://github.com/Qengineering/Faster_RCNN_ncnn
ncnn PeeleeNet Raspberry Pi 64https://github.com/Qengineering/PeleeNet_SSD
ncnn NanoDet Raspberry Pi 64https://github.com/Qengineering/NanoDet-ncnn-Raspberry-Pi-4
ncnn NanoDet Plus Raspberry Pi 64https://github.com/Qengineering/NanoDetPlus-ncnn-Raspberry-Pi-4
ncnn PP-PicoDet Raspberry Pi 64https://github.com/Qengineering/PP-PicoDet-ncnn-Raspberry-Pi-4
ncnn YoloFastestV2 Raspberry Pi 64https://github.com/Qengineering/YoloFastestV2-ncnn-Raspberry-Pi-4
ncnn YoloX Raspberry Pi 64https://github.com/Qengineering/YoloX-ncnn-Raspberry-Pi-4
ncnn YoloV2 Raspberry Pi 64https://github.com/Qengineering/YoloV2-ncnn-Raspberry-Pi-4
ncnn YoloV3 Raspberry Pi 64https://github.com/Qengineering/YoloV3-ncnn-Raspberry-Pi-4
ncnn YoloV4 Raspberry Pi 64https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-4
ncnn YoloV5 Raspberry Pi 64https://github.com/Qengineering/YoloV5-ncnn-Raspberry-Pi-4
ncnn YoloV6 Raspberry Pi 64https://github.com/Qengineering/YoloV6-ncnn-Raspberry-Pi-4
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TensorFlow Lite Jetson Nanohttps://github.com/Qengineering/TensorFlow_Lite_SSD_Jetson-Nano
Darknet YoloV4 Jetson Nanohttps://github.com/Qengineering/YoloV4-Darknet-Jetson-Nano
ncnn NanoDet Jetson Nanohttps://github.com/Qengineering/NanoDet-ncnn-Jetson-Nano
ncnn NanoDet Plus Jetson Nanohttps://github.com/Qengineering/NanoDetPlus-ncnn-Jetson-Nano
ncnn PP-PicoDet Jetson Nanohttps://github.com/Qengineering/PP-PicoDet-ncnn-Jeston-Nano
ncnn YoloFastetsV2 Jetson Nanohttps://github.com/Qengineering/YoloFastest-ncnn-Jetson-Nano
ncnn YoloX Jetson Nanohttps://github.com/Qengineering/YoloX-ncnn-Jetson-Nano
ncnn YoloV2 Jetson Nanohttps://github.com/Qengineering/YoloV2-ncnn-Jetson-Nano
ncnn YoloV3 Jetson Nanohttps://github.com/Qengineering/YoloV3-ncnn-Jetson-Nano
ncnn YoloV4 Jetson Nanohttps://github.com/Qengineering/YoloV4-ncnn-Jetson-Nano
ncnn YoloV5 Jetson Nanohttps://github.com/Qengineering/YoloV5-ncnn-Jetson-Nano
ncnn YoloV6 Jetson Nanohttps://github.com/Qengineering/YoloV6-ncnn-Jetson-Nano
ncnn YoloV7 Jetson Nanohttps://github.com/Qengineering/YoloV7-ncnn-Jetson-Nano
TensorRT YoloV8.2 Jetson (Orin) Nanohttps://github.com/Qengineering/YoloV8-TensorRT-Jetson_Nano
NPU PP YoloEhttps://github.com/Qengineering/PPYoloE-NPU
NPU YoloXhttps://github.com/Qengineering/YoloX-NPU
NPU YoloV5https://github.com/Qengineering/YoloV5-NPU
NPU YoloV5 multithreadhttps://github.com/Qengineering/YoloV5-NPU-Multithread
NPU YoloV6https://github.com/Qengineering/YoloV6-NPU
NPU YoloV7https://github.com/Qengineering/YoloV7-NPU
NPU YoloV8https://github.com/Qengineering/YoloV8-NPU
NPU YoloV10https://github.com/Qengineering/YoloV10-NPU
ByteTrack with labelshttps://github.com/Qengineering/ByteTrack_with_labels
ncnn YoloX + Tracking Rpi 64https://github.com/Qengineering/YoloX-Tracking-ncnn-RPi_64-bit
ncnn NanoDet + Tracking Rpi 64https://github.com/Qengineering/NanoDet-Tracking-ncnn-RPi_64-bit
Tensorflow Lite + Tracking Rpi 64https://github.com/Qengineering/TensorFlow_Lite-Tracking-RPi_64-bit
Traffic counter camera Rpi 64https://github.com/Qengineering/Traffic-Counter-RPi_64-bit
Traffic counter camera Rock 5Chttps://github.com/Qengineering/Traffic-Counter-Rock5C
TensorFlow Lite Raspberry Pi 32https://github.com/Qengineering/TensorFlow_Lite_Segmentation_RPi_32-bit
TensorFlow Lite Raspberry Pi 64https://github.com/Qengineering/TensorFlow_Lite_Segmentation_RPi_64-bit
TensorFlow Lite Jetson Nanohttps://github.com/Qengineering/TensorFlow_Lite_Segmentation_Jetson-Nano
ncnn YoloV5 segmentation Rpi 64https://github.com/Qengineering/YoloV5-segmentation-ncnn-RPi4
ncnn Yolact Raspberry Pihttps://github.com/Qengineering/Yolact-ncnn-Raspberry-Pi-4
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NPU YoloV8-seghttps://github.com/Qengineering/YoloV8-seg-NPU
TensorFlow Lite Raspberry Pi 32https://github.com/Qengineering/TensorFlow_Lite_Pose_RPi_32-bits
TensorFlow Lite Raspberry Pi 64https://github.com/Qengineering/TensorFlow_Lite_Pose_RPi_64-bits
TensorFlow Lite Jetson Nanohttps://github.com/Qengineering/TensorFlow_Lite_Pose_Jetson-Nano
ncnn Raspberry Pi 64https://github.com/Qengineering/ncnn_Pose_RPi_64-bits
MNN Ultra Raspberry Pi 64https://github.com/Qengineering/Face-detection-Raspberry-Pi-32-64-bits/tree/master/MNN
ncnn Ultra Raspberry Pi 64https://github.com/Qengineering/Face-detection-Raspberry-Pi-32-64-bits/tree/master/ncnn
OpenCV Ultra Raspberry Pi 64https://github.com/Qengineering/Face-detection-Raspberry-Pi-32-64-bits/tree/master/OpenCV
ncnn LFFD Raspberry Pi 64https://github.com/Qengineering/LFFD-ncnn-Raspberry-Pi-4
MNN LFFD Raspberry Pi 64https://github.com/Qengineering/LFFD-MNN-Raspberry-Pi-4
ncnn CenterFace Raspberry Pi 64https://github.com/Qengineering/CenterFace-ncnn-Raspberry-Pi-4
ncnn LFFD Jetson Nanohttps://github.com/Qengineering/LFFD-ncnn-Jetson-Nano
MNN LFFD Jetson Nanohttps://github.com/Qengineering/LFFD-MNN-Jetson-Nano
ncnn CenterFace Jetson Nanohttps://github.com/Qengineering/CenterFace-ncnn-Jetson-Nano
ncnn YoloV5 face Raspberry Pi 64https://github.com/Qengineering/YoloV5-face-ncnn-RPi4
ncnn Ultra Raspberry Pihttps://github.com/Qengineering/Face-detection-Landmark-Raspberry-Pi-32-64-bits
ncnn + Paddle Raspberry Pihttps://github.com/Qengineering/Face-Mask-Detection-Raspberry-Pi-64-bits
ncnn + Paddle Jetson Nanohttps://github.com/Qengineering/Face-Mask-Detection-Jetson-Nano
TensorFlow Raspberry Pihttps://github.com/Qengineering/TensorFlow_Lite_Face_Mask_RPi_64-bits
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ncnn Raspberry Pihttps://github.com/Qengineering/Face-Recognition-Raspberry-Pi-64-bits
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ncnn Jetson Nanohttps://github.com/Qengineering/Face-Recognition-with-Mask-Jetson-Nano
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PaddleOCR-Lite Document scanner RPihttps://github.com/Qengineering/PaddleOCR-Lite-Document
OpenCV detect text in image RPihttps://github.com/Qengineering/OpenCV_OCR_Detect_Text
OpenCV recognize text with deep learning RPihttps://github.com/Qengineering/OpenCV_OCR_DNN
OpenCV recognize text with tesseract RPihttps://github.com/Qengineering/OpenCV_OCR_Tesseract
XACTAI - OCR - License platehttps://github.com/xactai/ALPR_1.5_Public/tree/master/ALPR_1.5
real ESRGAN ncnn Raspberry Pi 4 https://github.com/Qengineering/Real-ESRGAN-ncnn-Raspberry-Pi-4
realsr ncnn Jetson Nanohttps://github.com/Qengineering/realsr-ncnn-Jetson-Nano
GFPGAN ncnn Raspberry Pi 4 https://github.com/Qengineering/GFPGAN-ncnn-Raspberry-Pi-4
OpenCV Raspberry Pihttps://github.com/Qengineering/Age-Gender-OpenCV-Raspberry-Pi-4
ncnn Ultra Raspberry Pi 64https://github.com/Qengineering/Head-Pose-ncnn-Raspberry-Pi-4
ncnn NanoDet Raspberry Pi 64https://github.com/Qengineering/Hand-Pose-ncnn-Raspberry-Pi-4
ncnn Colorization Raspberry Pi 64https://github.com/Qengineering/ncnn-Colorization_Raspberry-Pi-4
ZBar Raspberry Pihttps://github.com/Qengineering/QR_scanner_Raspberry_Pi
https://patch-diff.githubusercontent.com/Qengineering/Qengineering#wheels
Raspberry Pi 32https://github.com/Qengineering/TensorFlow-Raspberry-Pi
Raspberry Pi 64https://github.com/Qengineering/TensorFlow-Raspberry-Pi_64-bit
Jetson Nanohttps://github.com/Qengineering/TensorFlow-JetsonNano
Raspberry Pi 64https://github.com/Qengineering/TensorFlow-Lite-Raspberry-Pi_64-bit
Jetson Nanohttps://github.com/Qengineering/TensorFlow-Lite-Raspberry-Pi_64-bit
Raspberry Pi 64https://github.com/Qengineering/TensorFlow-Addons-Raspberry-Pi_64-bit
Jetson Nanohttps://github.com/Qengineering/TensorFlow-Addons-Jetson-Nano
Raspberry Pi 64https://github.com/Qengineering/PyTorch-Raspberry-Pi-64-OS
Jetson Nanohttps://github.com/Qengineering/PyTorch-Jetson-Nano
Raspberry Pi 64https://github.com/Qengineering/Paddle-Raspberry-Pi
Jetson Nanohttps://github.com/Qengineering/Paddle-Jetson-Nano
Jetson Nano Ubuntu 20.04https://github.com/Qengineering/Jetson-Nano-Ubuntu-20-image
Raspberry Pi 32https://github.com/Qengineering/Install-OpenCV-Raspberry-Pi-32-bits
Raspberry Pi 64https://github.com/Qengineering/Install-OpenCV-Raspberry-Pi-64-bits
Jetson Nanohttps://github.com/Qengineering/Install-OpenCV-Jetson-Nano
https://patch-diff.githubusercontent.com/Qengineering/Qengineering#miscellaneous
rtop Ubuntuhttps://github.com/Qengineering/rtop-Ubuntu
rtop KDEhttps://github.com/Qengineering/rtop-KDE
libcamera C++ API wrapper Bullseye 64https://github.com/Qengineering/LCCV
GStreamer 1.18.4 + OpenCV Raspberry Pi 32https://github.com/Qengineering/GStreamer-1.18.4-RPi_32-bits
GStreamer 1.18.4 + OpenCV Raspberry Pi 64https://github.com/Qengineering/GStreamer-1.18.4-RPi_64-bits
Libcamera + OpenCV on Raspberry Pi 32https://github.com/Qengineering/Libcamera-OpenCV-RPi-Bullseye-32OS
Libcamera + OpenCV on Raspberry Pi 64https://github.com/Qengineering/Libcamera-OpenCV-RPi-Bullseye-64OS
Multithread cameras with OpenCVhttps://github.com/Qengineering/Multithread-Camera-OpenCV
RTSP with OpenCVhttps://github.com/Qengineering/RTSP-with-OpenCV
Examples Raspberry Pi 64https://github.com/Qengineering/OpenCV-Livecam-Raspberry-Pi
Qt5 RPi 64 + Jetson Nanohttps://github.com/Qengineering/Qt5-OpenCV-Raspberry-Pi-Jetson-Nano
Blur detectionhttps://github.com/Qengineering/Blur-detection-with-FFT-in-C
Fast background substractionhttps://github.com/Qengineering/Fast-Background-Substraction
DHT22 sensorhttps://github.com/Qengineering/DHT22-Raspberry-Pi
cuDNN 8.0 + CUDA 10.3 WeiLui SSD Fork + Configuration files RPi, Jetsonhttps://github.com/Qengineering/caffe
RKNN model zoohttps://github.com/Qengineering/rknn_model_zoo
https://patch-diff.githubusercontent.com/Qengineering/Qengineering#images
https://camo.githubusercontent.com/539e4cc7109ff37799e25cc4be1554bdf67df17d2de49b0345f668c8dec1554e/68747470733a2f2f71656e67696e656572696e672e65752f6769746875622f534463617264333247425f736d616c6c2e6a7067
Raspberry Pi 4 Bullseye 64-bit OS with several frameworks and deep-learning exampleshttps://github.com/Qengineering/RPi-Bullseye-DNN-image
https://camo.githubusercontent.com/930961f254d491372c0528e4cbb12fcd9eeac79d815ed7dc8d916ace5e3f7165/68747470733a2f2f71656e67696e656572696e672e65752f6769746875622f534463617264313647425f736d616c6c2e6a7067
Raspberry Pi 4 Buster 64-bit OS with several frameworks and deep-learning exampleshttps://github.com/Qengineering/RPi-image
https://camo.githubusercontent.com/fd958bc5d0513ba3ea1b57e3cc58be0c34e8606faa26dcfc36dfd88b1a1cff55/68747470733a2f2f71656e67696e656572696e672e65752f6769746875622f534463617264313647425a65726f32736d616c6c2e6a7067
Raspberry Pi Zero 2 W 64-bit OS image with OpenCV, TensorFlow Lite and ncnnhttps://github.com/Qengineering/RPi_64-bit_Zero-2-image
https://camo.githubusercontent.com/0c0bbbc24e76aafff4517f41c49e6245d5199dce7c5dc688adbb03a7caaf01c7/68747470733a2f2f71656e67696e656572696e672e65752f6769746875622f534463617264313647425f62616e616e612e6a7067
Banana Pi M2 Zero image with OV5640 camera and OpenCVhttps://github.com/Qengineering/BananaPi-M2-Zero-OV5640
https://camo.githubusercontent.com/91f82a51010e9873373214e706f3b3f57d6049b2f92897b5096d2197ccafb95e/68747470733a2f2f71656e67696e656572696e672e65752f6769746875622f534463617264333247425f526f636b5069352e6a7067
Rock 5 with OpenCV, TNN, ncnn and NPUhttps://github.com/Qengineering/Rock-5-image
https://camo.githubusercontent.com/9db9db971e4a29facbcf1fbb1d56ad3921c78e26ff99fc64036f38a393665691/68747470733a2f2f71656e67696e656572696e672e65752f6769746875622f526f636b5069355f5562756e74755f32322e6a7067
Rock 5 with Ubuntu 22.04, OpenCV, ncnn and NPUhttps://github.com/Qengineering/Rock-5-Ubuntu-22-image
https://camo.githubusercontent.com/0ddd55f6aaa9230b1999bc762dbd7d5d4dcaf754d8383e20bd0700aadc174083/68747470733a2f2f71656e67696e656572696e672e65752f6769746875622f52616478615a65726f335f5562756e74755f32322e6a7067
Radxa Zero 3 with Ubuntu 24.04, OpenCV, ncnn and NPUhttps://github.com/Qengineering/Radxa-Zero-3-NPU-Ubuntu24
https://camo.githubusercontent.com/9a2736f46db6fe0cf6a9082e7ecd58e440848103d90d0ab5ff99389684b3480b/68747470733a2f2f71656e67696e656572696e672e65752f6769746875622f534463617264333247425f736d616c6c4a6574736f6e2e6a7067
A Jetson Nano image with OpenCV, TensorFlow and PyTorchhttps://github.com/Qengineering/Jetson-Nano-image
https://camo.githubusercontent.com/28cc23894d928d4ea9eb79518ff04889dde00df16800f85b78122043cc316ecd/68747470733a2f2f71656e67696e656572696e672e65752f6769746875622f534463617264333247424a6574736f6e55423230736d616c6c2e6a7067
A Jetson Nano - Ubuntu 20.04 image with OpenCV, TensorFlow and PyTorchhttps://github.com/Qengineering/Jetson-Nano-Ubuntu-20-image
https://patch-diff.githubusercontent.com/Qengineering/Qengineering#applications
https://camo.githubusercontent.com/7b3f4f3a1ba5ad3e91c0e599bad71e1fdcfdf9d89ecd8de4edd75e1862c8e959/68747470733a2f2f71656e67696e656572696e672e65752f6769746875622f5344636172644d6f74696f6e2e6a7067
RPi z2, 3 or 4 motion surveillance camera with email notification and gdrive storagehttps://github.com/Qengineering/RPiMotionCam
https://camo.githubusercontent.com/1c51b4b10d0e853e6721f1de6287149522894c872cb05f0f24c08dea3f360ce2/68747470733a2f2f71656e67696e656572696e672e65752f6769746875622f534463617264444e4e2e6a7067
YoloCam, the cheapest AI-powered camera with email notification, gdrive storage and GPIO outputhttps://github.com/Qengineering/YoloCam
https://camo.githubusercontent.com/076df368312e05982e15e32aaf7b3ecf23c275a47094070bfd8ee895cb6ac950/68747470733a2f2f71656e67696e656572696e672e65752f6769746875622f534463617264596f6c6f49502e6a7067
YoloIP, the cheapest AI-powered machine, supports multiple IP surveillance camerashttps://github.com/Qengineering/YoloIP
https://camo.githubusercontent.com/321aad3279bfe38d92dac4929afd1a3e8fce4b436c8857024811d725af63991d/68747470733a2f2f6769746875622d726561646d652d73746174732d61756a32316266756d2d71656e67696e656572696e67732d70726f6a656374732e76657263656c2e6170702f6170693f757365726e616d653d51656e67696e656572696e6726636f756e745f707269766174653d747275652673686f775f69636f6e3d7472756526636172645f77696474683d3430302662675f636f6c6f723d3030303030303030267469746c655f636f6c6f723d30303545324326746578745f636f6c6f723d3934394341352673686f775f69636f6e733d7472756526686964655f626f726465723d747275652669636f6e5f636f6c6f723d303042453333
https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=CPZTM5BB3FCYL
qengineering.eu/https://qengineering.eu/
deep-learning https://patch-diff.githubusercontent.com/topics/deep-learning
tensorflow https://patch-diff.githubusercontent.com/topics/tensorflow
face-detection https://patch-diff.githubusercontent.com/topics/face-detection
paddle https://patch-diff.githubusercontent.com/topics/paddle
mnn https://patch-diff.githubusercontent.com/topics/mnn
ncnn https://patch-diff.githubusercontent.com/topics/ncnn
jetson-nano https://patch-diff.githubusercontent.com/topics/jetson-nano
raspberry-pi-4 https://patch-diff.githubusercontent.com/topics/raspberry-pi-4
Readme https://patch-diff.githubusercontent.com/Qengineering/Qengineering#readme-ov-file
Please reload this pagehttps://patch-diff.githubusercontent.com/Qengineering/Qengineering
Activityhttps://patch-diff.githubusercontent.com/Qengineering/Qengineering/activity
39 starshttps://patch-diff.githubusercontent.com/Qengineering/Qengineering/stargazers
2 watchinghttps://patch-diff.githubusercontent.com/Qengineering/Qengineering/watchers
8 forkshttps://patch-diff.githubusercontent.com/Qengineering/Qengineering/forks
Report repository https://patch-diff.githubusercontent.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2FQengineering%2FQengineering&report=Qengineering+%28user%29
Releaseshttps://patch-diff.githubusercontent.com/Qengineering/Qengineering/releases
Packages 0https://patch-diff.githubusercontent.com/users/Qengineering/packages?repo_name=Qengineering
https://github.com
Termshttps://docs.github.com/site-policy/github-terms/github-terms-of-service
Privacyhttps://docs.github.com/site-policy/privacy-policies/github-privacy-statement
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Statushttps://www.githubstatus.com/
Communityhttps://github.community/
Docshttps://docs.github.com/
Contacthttps://support.github.com?tags=dotcom-footer

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