Welcome to the company, we have many years of professional experience!
Chat
Online
Inquiry
Home > Protective clothing textile factory

Protective clothing textile factory

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

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.

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

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

Get in touch with usCustomer satisfaction is our first goal!
Email us
— We will confidentially process your data and will not pass it on to a third party.
Protective clothing textile factory
Mask R-CNN | Papers With Code
Mask R-CNN | Papers With Code

Get the latest machine learning methods with code. Browse our catalogue of tasks and access state-of-the-art solutions. Tip: you can also follow us on Twitter

Brain Tumor Detection using Mask R-CNN - KDnuggets
Brain Tumor Detection using Mask R-CNN - KDnuggets

In this article, we are going to build a ,Mask R-CNN, model capable of detecting tumours from MRI scans of the brain images. ,Mask R-CNN, has been the new state of the art in terms of instance segmentation. There are rigorous papers, easy to understand tutorials with good quality open-source codes around for your reference. Here I want to share some simple understanding of it to give you a first ...

Pytorch Image Segmentation Tutorial For Beginners — I | by ...
Pytorch Image Segmentation Tutorial For Beginners — I | by ...

Pytorch,. In this tutorial, I explained how to make an image segmentation ,mask, in ,Pytorch,. I gave all the steps to make it easier for beginners. Models Genesis. In this project, I used Models Genesis. The difference of Models Genesis is to train a U-Net model using health data.

Machine Learning with C++ - Mask R-CNN with PyTorch C++ ...
Machine Learning with C++ - Mask R-CNN with PyTorch C++ ...

I made C++ implementation of ,Mask R-CNN, with ,PyTorch, C++ frontend. The code is based on ,PyTorch, implementations from multimodallearning and Keras implementation from Matterport . Project was made for educational purposes and can be used as comprehensive example of ,PyTorch, C++ frontend API.

Mask RCNN - IceVision
Mask RCNN - IceVision

Using ,Mask RCNN,. This shows how to train a MaskRCNN model on the Penn-Fundan dataset using either Fastai or ,Pytorch,-Lightning training loop. Fastai # Install icevision # !pip install icevision[all] ...

[1703.06870] Mask R-CNN - arXiv
[1703.06870] Mask R-CNN - arXiv

20/3/2017, · We present a conceptually simple, flexible, and general framework for object instance segmentation. Our approach efficiently detects objects in an image while simultaneously generating a high-quality segmentation ,mask, for each instance. The method, called ,Mask R-CNN,, extends Faster ,R-CNN, by adding a branch for predicting an object ,mask, in parallel with the existing branch for bounding …

Detectron2 - Object Detection with PyTorch
Detectron2 - Object Detection with PyTorch

Detectron2 - Object Detection with ,PyTorch,. by Gilbert Tanner on Nov 18, 2019 · 9 min read ... The above code imports detectron2, downloads an example image, creates a config, downloads the weights of a ,Mask RCNN, model and makes a prediction on the image. After making the prediction we can display the prediction using the following code:

Multi Class implementation Mask RCNN - vision - PyTorch Forums
Multi Class implementation Mask RCNN - vision - PyTorch Forums

Note sure why in the ONE ,MASK, example above your pixel/,mask,-values show a triplet in (note, iris = (1,1,1) pupil = (2,2,2))!? Each generated ,mask, should only have one channel .That being said, imagine the original ,mask, that contains the labels (call it the color-encoded-,mask,), before converting to three binary ,masks,, as a gray-level image with one-channel filed with 0s, 1s, and 2s .

Multi Class implementation Mask RCNN - vision - PyTorch Forums
Multi Class implementation Mask RCNN - vision - PyTorch Forums

Note sure why in the ONE ,MASK, example above your pixel/,mask,-values show a triplet in (note, iris = (1,1,1) pupil = (2,2,2))!? Each generated ,mask, should only have one channel .That being said, imagine the original ,mask, that contains the labels (call it the color-encoded-,mask,), before converting to three binary ,masks,, as a gray-level image with one-channel filed with 0s, 1s, and 2s .

[1703.06870] Mask R-CNN - arXiv
[1703.06870] Mask R-CNN - arXiv

20/3/2017, · We present a conceptually simple, flexible, and general framework for object instance segmentation. Our approach efficiently detects objects in an image while simultaneously generating a high-quality segmentation ,mask, for each instance. The method, called ,Mask R-CNN,, extends Faster ,R-CNN, by adding a branch for predicting an object ,mask, in parallel with the existing branch for bounding …

Mask R-CNN with OpenCV - PyImageSearch
Mask R-CNN with OpenCV - PyImageSearch

19/11/2018, · ,mask,_,rcnn,.py : This script will perform instance segmentation and apply a ,mask, to the image so you can see where, down to the pixel, the ,Mask R-CNN, thinks an object is. ,mask,_,rcnn,_video.py : This video processing script uses the same ,Mask R-CNN, and applies the model to …

Detectron2 - Object Detection with PyTorch
Detectron2 - Object Detection with PyTorch

Detectron2 - Object Detection with ,PyTorch,. by Gilbert Tanner on Nov 18, 2019 · 9 min read ... The above code imports detectron2, downloads an example image, creates a config, downloads the weights of a ,Mask RCNN, model and makes a prediction on the image. After making the prediction we can display the prediction using the following code:

Mask R-CNN with OpenCV - PyImageSearch
Mask R-CNN with OpenCV - PyImageSearch

19/11/2018, · ,mask,_,rcnn,.py : This script will perform instance segmentation and apply a ,mask, to the image so you can see where, down to the pixel, the ,Mask R-CNN, thinks an object is. ,mask,_,rcnn,_video.py : This video processing script uses the same ,Mask R-CNN, and applies the model to …

Mask R-CNN | Papers With Code
Mask R-CNN | Papers With Code

Get the latest machine learning methods with code. Browse our catalogue of tasks and access state-of-the-art solutions. Tip: you can also follow us on Twitter

Face Mask Detection using Faster R-CNN (PyTorch) | Kaggle
Face Mask Detection using Faster R-CNN (PyTorch) | Kaggle

Face-,Mask, Detection using Faster ,R-CNN, (,PyTorch,) ༼ つ _ ༽つ Exploring Dataset 📊 Visualise Random Images with BBox 🕵️‍ Preparing Dataset for Training 📂 Create Model - Resnet50 (Faster ,R-CNN,) 🔨 Preparing Model for Training - Define learning parameters 📝 Now comes everbody's favorite part 😋, let's train it!

Brain Tumor Detection using Mask R-CNN - KDnuggets
Brain Tumor Detection using Mask R-CNN - KDnuggets

In this article, we are going to build a ,Mask R-CNN, model capable of detecting tumours from MRI scans of the brain images. ,Mask R-CNN, has been the new state of the art in terms of instance segmentation. There are rigorous papers, easy to understand tutorials with good quality open-source codes around for your reference. Here I want to share some simple understanding of it to give you a first ...

Mask RCNN - IceVision
Mask RCNN - IceVision

Using ,Mask RCNN,. This shows how to train a MaskRCNN model on the Penn-Fundan dataset using either Fastai or ,Pytorch,-Lightning training loop. Fastai # Install icevision # !pip install icevision[all] ...