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Name: 深觉科技

Type: User

Company: 深圳市深觉科技有限责任公司

Bio: 深觉科技-aipcbox.com-AI云边端智能视觉算法=视频采集+海量识别算法+智能监测+统计分析,算法包括安全帽、工服、烟雾火焰、抽烟、打电话、人员闯入、离岗睡岗、人脸、车辆等识别监测和预警,算法精准、秒级预警、利旧降本,致力于解决您的行业需求。

Blog: www.aipcbox.com

深觉科技's Projects

adb-arm icon adb-arm

ADB for ARM (binary + build script)

aidlearning-framework icon aidlearning-framework

🔥Run Linux on the Android with GUI ,Python and AI support. touch-and-drag programming,One-click Installation🔥

alphapose icon alphapose

Real-Time and Accurate Multi-Person Pose Estimation&Tracking System

caffe icon caffe

Caffe: a fast open framework for deep learning.

centernet icon centernet

Object detection, 3D detection, and pose estimation using center point detection:

ctcwordbeamsearch icon ctcwordbeamsearch

Connectionist Temporal Classification (CTC) decoder with dictionary and language model for TensorFlow.

deblurganv2 icon deblurganv2

[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

deepnude-an-image-to-image-technology icon deepnude-an-image-to-image-technology

DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用GAN图像生成的理论与实践研究。

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

efficient-3dcnns icon efficient-3dcnns

PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.

fcn.tensorflow icon fcn.tensorflow

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

human-pose-estimation.pytorch icon human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

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