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Bee protective clothing

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.

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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

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

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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.

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

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Bee protective clothing
Pytorch Demo Github
Pytorch Demo Github

Pytorch Demo ,Github

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 ...

Amazon.com: Surgical Masks - Blue / Surgical Masks / Masks ...
Amazon.com: Surgical Masks - Blue / Surgical Masks / Masks ...

OxGord Face ,Mask, - 300 Disposable Ear-Loop ,Masks, (50ct Per Box, Pack of 6) Protection from Dust, Pollen, and More – Mouth Cover Ideal for Everyday Use, ,Blue, 3.7 …

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.

Faster Rcnn Fpn Github
Faster Rcnn Fpn Github

Faster Rcnn Fpn ,Github

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 ...

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.

3d Rcnn Github
3d Rcnn Github

3d Rcnn ,Github

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.

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.

Faster Rcnn Fpn Github
Faster Rcnn Fpn Github

Faster Rcnn Fpn ,Github

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 ...

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.

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.

Pytorch Demo Github
Pytorch Demo Github

Pytorch Demo ,Github

3d Object Detection Github
3d Object Detection Github

Part of the code comes from CenterNet, ,maskrcnn,-benchmark, and Detectron2. An autonomous vehicle needs to perceive the objects present in the 3D scene from its sensors in order to plan its motion safely. Object detection python ,github,. be/mDaqKICiHyA ----- Aggregate View Object Detection (AVOD) network for autonomous driving scenarios.

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.

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.