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Home > gas mask training

gas mask training

Shanghai Sunland Industrial Co., Ltd is the top manufacturer of Personal Protect Equipment in China, with 20 years’experience. We are the Chinese government appointed manufacturer for government power,personal protection equipment , medical instruments,construction industry, etc. All the products get the CE, ANSI and related Industry Certificates. All our safety helmets use the top-quality raw material without any recycling material.

Why choose us

Solutions to meet different needs

Solutions to meet different needs

We provide exclusive customization of the products logo, using advanced printing technology and technology, not suitable for fading, solid and firm, scratch-proof and anti-smashing, and suitable for various scenes such as construction, mining, warehouse, inspection, etc. Our goal is to satisfy your needs. Demand, do your best.

Highly specialized team and products

Highly specialized team and products

Professional team work and production line which can make nice quality in short time.

We trade with an open mind

We trade with an open mind

We abide by the privacy policy and human rights, follow the business order, do our utmost to provide you with a fair and secure trading environment, and look forward to your customers coming to cooperate with us, openly mind and trade with customers, promote common development, and work together for a win-win situation.

24 / 7 guaranteed service

24 / 7 guaranteed service

The professional team provides 24 * 7 after-sales service for you, which can help you solve any problems

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CONTACT USCustomer satisfaction is our first goal!

Consultation hotline:0086-15900663312

Address:No. 3888, Hutai Road, Baoshan District, Shanghai, China

gas mask training

Faster Rcnn Fpn Github

Faster Rcnn Fpn Github

Faster Rcnn Fpn ,Github

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Waleed Abdulla - GitHub Pages

Waleed Abdulla - GitHub Pages

An implementation of ,Mask RCNN, on Keras and TensorFlow. I built this during my work at Matterport and they graciously agreed to open source it. Since its release in November 2017, it has become one of the top instance segmentation models on TensorFlow and was used by thousands of developers in applications ranging from Kaggle competitions to Ph.D theses.

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Mask Rcnn Github

Mask Rcnn Github

RCNN uses Caffe (a very nice C++ ConvNet library we use at Stanford too) to train the ConvNet models, and both are available under BSD on ,Github,. Files for ,mask-rcnn,-12rics, version 0. ,Mask RCNN, is a deep neural network for instance segmentation.

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Waleed Abdulla - GitHub Pages

Waleed Abdulla - GitHub Pages

An implementation of ,Mask RCNN, on Keras and TensorFlow. I built this during my work at Matterport and they graciously agreed to open source it. Since its release in November 2017, it has become one of the top instance segmentation models on TensorFlow and was used by thousands of developers in applications ranging from Kaggle competitions to Ph.D theses.

Get Price
docs.nvidia.com

docs.nvidia.com

Deploying to Deepstream ===== .. _deploying_to_deepstream: The deep learning and computer vision models that you trained can be deployed on edge devices, such as a Jetson Xavier, Jetson Nano or a Tesla or in the cloud with NVIDIA GPUs.

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docs.nvidia.com

docs.nvidia.com

Deploying to Deepstream ===== .. _deploying_to_deepstream: The deep learning and computer vision models that you trained can be deployed on edge devices, such as a Jetson Xavier, Jetson Nano or a Tesla or in the cloud with NVIDIA GPUs.

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3d Rcnn Github

3d Rcnn Github

3d Rcnn ,Github

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Pytorch Demo Github

Pytorch Demo Github

Pytorch Demo ,Github

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arXiv:1903.05831v1 [cs.CV] 14 Mar 2019

arXiv:1903.05831v1 [cs.CV] 14 Mar 2019

4. ,maskrcnn,-benchmark4 is a well optimized framework with amazing training speed. But it supports the least models of all frameworks. detectron tensorpack mmdetection ,maskrcnn,-benchmark simpledet R50-FPN Faster Speed 29 images/s 29 images/s 28 images/s 40 images/s 37 images/s FasterRCNN 33333 ,MaskRCNN, 33333 CascadeRCNN 33373 DCN 77373 RetinaNet ...

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arXiv:1903.05831v1 [cs.CV] 14 Mar 2019

arXiv:1903.05831v1 [cs.CV] 14 Mar 2019

4. ,maskrcnn,-benchmark4 is a well optimized framework with amazing training speed. But it supports the least models of all frameworks. detectron tensorpack mmdetection ,maskrcnn,-benchmark simpledet R50-FPN Faster Speed 29 images/s 29 images/s 28 images/s 40 images/s 37 images/s FasterRCNN 33333 ,MaskRCNN, 33333 CascadeRCNN 33373 DCN 77373 RetinaNet ...

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