LEADERG AI ZOO - Advanced AI Software (Jupyter Lab User Interface, Low Code)

Area (Language): 

大陆港澳 (简体中文)

台灣 (繁體中文)

 

AI Algorithms, AI Model Zoo, Save Development Time, Electronic Copy and License, Permanent Authorization, One Year Download, One Year Technical Support

 

 

 

LEADERG AI ZOO.png

 

 

 

Provide organized and useful artificial intelligence algorithms, which can be applied to product defect detection, medical image analysis, artificial intelligence teaching, crime detection and prevention, access control and attendance, smart long-term photography, public safety, etc. Help to save development time.

 

 

Turn the artificial intelligence algorithms into a web user interface that everyone can use. You can perform deep learning and analyze data without programing, and help to solve the industry's lack of AI talents.

 

 

Provide the source code and reference source. You can customize AI products for mass production by yourself. Free of royalties.

 

 

Built-in Python, CUDA, cuDNN, TensorFlow, Keras, PyTorch and other software packages and sample codes. Help to save the trouble of installing packages and finding sample codes.

 

 

 

[ Architecture ]

 

 

LEADERG-AI-ZOO-AI Software-Architecture-20200505.png

 

 

 

 

 

[ Features ]

 

    • Software with Python, PyTorch, TensorFlow, Keras, OpenVINO, OpenCV, etc.

 

    • Support deep learning

 

    • Support AI algorithms

 

    • Support image processing

 

    • Support many image analysis methods

 

    • Support template comparison

 

    • Support object analysis

 

    • Support barcode recognition

 

    • Support QR code

 

    • Support multi-core and multi-processor computers

 

    • Support GPU acceleration

 

    • Support custom libraries

 

    • Support TensorFlow 2.4

 

    • Support PyTorch 1.7.0

 

    • Support CUDA 11.0

 

    • Support cuDNN 8.0.4

 

    • No need to upload data to public cloud

 

 

 

[ Supported Operating Systems ]

 

Please choose one of these two operating systems. If you need to support two operating systems, please buy two licenses.

 

    •  Windows 10 64 bit

 

    •  Ubuntu Linux 18.04 64 bit

 

 

 

[ Hardware Requirements ]

 

    • Intel x64 CPU with AVX2 instruction set

 

    • 16 GB RAM or higher

 

    • 100 GB of free space on a disk

 

    • Screen resolution is 1280 x 720 or higher

 

    • Mouse or other pointing device

 

    • NVIDIA GPU with CUDA support. (GPU memory 16 GB or higher is required)

 

    • Intel Movidius Myriad X. (Option for Acceleration)

 

 

 

 

[ Software Advantages ]

 

 

    • Update for the latest algorithms every month

 

    • Easy to get started. Development integration is fast

 

    • Applications: semiconductor industry, panel industry, petrochemical industry, PCB industry, school lessons, etc.

 

    • Won the champion in the International AI Competition. The prize is 100K USD.

 

    • Support Python, PyTorch, TensorFlow, Keras. With CPU and GPU support.

 

    • With verified deep learning solutions: SSD, VGG, ResNet, YOLOv3, MaskRCNN, data analysis, stock forecast, etc.

 

 

 

 

[ Edition Description ]

 

 

LEADERG AI ZOO - One Site License:

 

For one computer.

 

 

LEADERG AI ZOO - Enterprise License for One Department:

 

For one department of one company.

 

 

LEADERG AI ZOO - Education License for One Department:

 

For one department of one school.

 

 

 

 

 

[ Software Comparison ]

 

 

  LEADERG AI ZOO Halcon Cognex eVision
Overall Performance High Normal Normal Normal

Overall Cost

Low High High Normal
AI Image Algorithm More Less Less Less
Traditional Image Algorithm Yes Yes Yes Yes
Bar code recognition Yes Yes Yes Yes
Sound Algorithm Yes No No No
Source Code Yes No No No
Mass Production Royalties Free High High High

 

 

 

[ Special Thanks to Our Customers ]

 

Taiwan University, Chiao Tung University, Cheng Kung University, Chung Hsing University, Ilan University, Chin-Yi University of Technology, Chi Nan University, United University,  Defense University, R.O.C. Naval Academy, Chang Gung University, Formosa University, Pingtung University of Science and Technology, Kaohsiung University of Science and Technology, Feng Chia University, Chaoyang University of Technology, I-Shou University, Shih Chien University, Institute for Information Industry, Industrial Technology Research Institute , Ministry of Justice Investigation Bureau, Atomic Energy Council, Council of Agriculture, Metal Industries Research & Development Centre, Taiwan Instrument Research Institute, WORLD PEACE INDUSTRIAL CO.,  LTD., AU Optronics Corp., HARRY & KING CORP., Taichung Veterans General Hospital, Formosa Technologies Corp., Nan Ya Plastics Corp.,  Formosa Chemicals & Fibre Corp., United Microelectronics Corp., HannStar Display Corp., LOGITECH FAR EAST LTD, Stark Technology Inc., BoardTek Electronics Corp,  GeOceanTech Co.,  Ltd., UniChamp Computer CO., LTD, Allion Labs,  Inc.,  Grade Upon Technology Corp., ALL-RICH DIGITAL ENTERPRISE CO.,  LTD ,  Sound Land Corp., HORNG TERNG AUTOMATION CO.,  LTD., MITAC INTERNATIONAL CORP , HYWARE INTERNATIONAL CO.,  LTD., AAEON Technology Inc., Arima Lasers Corp., Lextar Electronics Corp., BESEYE CLOUD SECURITY CO.,  LTD., Dynapack International Technology Corp., Neo-Cowin development Co.,  Ltd., MIRLE AUTOMATION CORP., Elan Microelectronics Corp.,  Imperium Co. Ltd., etc.

 

 

 

[ Technical Support ]

 

Training for one hour by using video conference.

 

Software download and technical support peroid is one year.

 

Provide e-mail technical support services for software operation or sample code problems.

 

If it is a software customization problem, please purchase our customized paid training.

 

 

 

 

[ Software License ]

 

This software is with complete sample code. It's convinient to do research and prepare papers. You can also customize AI products for mass production without royalties.

 

This software is "not open source". Please use it privately, not publishing sample code to the Internet.

 

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

 

 

 

 

[ AI Algorithms ]

 

 

Algorithm Jupyter-Chatterbot
Description Chatbot

 

Algorithm Jupyter-COM
Description Serial port

 

Algorithm Jupyter-CURL
Description Using the CURL library to fetching web pages 

 

Algorithm Jupyter-Data-Conv1D-Keras
Description Data analysis using a 1D convolutional neural network

 

Algorithm Jupyter-Data-Dense-Sin-PyTorch
Description Using Densenet to learn Sine wave and inference

 

Algorithm Jupyter-Data-Dense-Stock-PyTorch
Description Using XGBoost to predict stocks

 

Algorithm Jupyter-Data-Dense-Fraud-Detection
Description Using XGBoost to fraud detection

 

Algorithm Jupyter-Data-Genetic-Algorithm-Flow-Shop
Description Genetic Algorithm Factory Scheduling

 

Algorithm Jupyter-Data-Genetic-Algorithm-Job-Shop
Description Genetic Algorithm Factory Scheduling

 

Algorithm Jupyter-Data-Genetic-Algorithm-Job-Shop-NSGA-II
Description Genetic Algorithm Factory Scheduling

 

Algorithm Jupyter-Data-Gradient-Boosting-Classification
Description Using Gradient-Boosting to predict Titanic survivors

 

Algorithm Jupyter-Data-Gradient-Boosting-Regression
Description Using Gradient-Boosting to predict Boston house prices

 

Algorithm Jupyter-Data-JSON
Description Using Python to read in json, print out json, and write to output.json

 

Algorithm Jupyter-Data-LightGBM-Classification
Description Using LightGBM to predict Titanic survivors

 

Algorithm Jupyter-Data-LightGBM-Regression
Description Using LightGBM to predict Boston house prices

 

Algorithm Jupyter-Data-LSTM-PyTorch
Description Using PyTorch LSTM to predict stock prices

 

Algorithm Jupyter-Data-Matplot-Stock
Description Python, plotting data

 

Algorithm Jupyter-Data-Read-Sin
Description Python read Sine wave value and draw into table

 

Algorithm Jupyter-Data-Read-Write-CSV
Description Python, read and store CSV data

 

Algorithm Jupyter-Data-Read-Write-Excel
Description Python, read and store Excel data

 

Algorithm Jupyter-Data-Regression-Forest
Description Forecasting Boston house prices with Regression-Forest

 

Algorithm Jupyter-Data-Regression-Forest-Sin
Description Forecasting Sinusoid with Regression-Forest

 

Algorithm Jupyter-Data-Regression-Forest-Stock
Description Forecasting Stock with Regression-Forest

 

Algorithm Jupyter-Data-SVM
Description Use SVM for data clustering

 

Algorithm Jupyter-Data-Taiwan-Mask
Description Check the information on the stock of masks of the Taiwan pharmacy

 

Algorithm Jupyter-Data-XGBoost-Classification
Description Using XGBoost to predict Titanic survivors

 

Algorithm Jupyter-Data-XGBoost-GPU-Test
Description XGBoost GPU Test

 

Algorithm Jupyter-Data-XGBoost-Regression
Description Using XGBoost to predict Boston house prices

 

Algorithm Jupyter-Data-XGBoost-Regression-Stock-Taiwan
Description Using XGBoost to predict stock prices

 

Algorithm Jupyter-Data-XGBoost-Regression-Time-Series
Description Using XGBoost Regression Time Series to predict stock prices

 

Algorithm Jupyter-File-Download
Description Download file and display progress bar

 

Algorithm Jupyter-for
Description Python for Loop Example

 

Algorithm Jupyter-Function-Call
Description Python call function example

 

Algorithm Jupyter-Hello-World
Description Python print example

 

Algorithm Jupyter-Http-Server-AIOHTTP
Description Python AIOHTTP Web Server

 

Algorithm Jupyter-Http-Server-Flask
Description Python Flask, a lightweight web application framework

 

Algorithm Jupyter-if
Description Python If example

 

Algorithm Jupyter-Image-Augmentation
Description Image augmentation

 

Algorithm Jupyter-Image-Barcode
Description Read 1D and 2D barcodes

 

Algorithm Jupyter-Image-Barcode-Generator
Description Generate 1D barcodes

 

Algorithm Jupyter-Image-Batch-Resize
Description Image batch resize

 

Algorithm Jupyter-Image-Classification-AlexNet-PyTorch
Description Using PyTorch AlexNet for defect classification

 

Algorithm Jupyter-Image-Classification-Attention-PyTorch
Description Using PyTorch Attention for defect classification

 

Algorithm Jupyter-Image-Classification-CSPResNeXt-50-CPP
Description Using PyTorch CSPResNeXt for defect classification

 

Algorithm Jupyter-Image-Classification-DenseNet-OCR-Keras
Description Recognize characters with DenseNet

 

Algorithm Jupyter-Image-Classification-DenseNet121-PyTorch
Description Using PyTorch DenseNet121 for defect classification

 

Algorithm Jupyter-Image-Classification-EfficientNet-PyTorch
Description Using PyTorch EfficientNet for defect classification

 

Algorithm Jupyter-Image-Classification-GoogleNet-PyTorch
Description Using PyTorch GoogleNet for defect classification

 

Algorithm Jupyter-Image-Classification-InceptionV2-PyTorch
Description Using PyTorch InceptionV2 for defect classification

 

Algorithm Jupyter-Image-Classification-InceptionV3-CAM-PyTorch
Description Use InceptionV3 and Class Activation Mapping visualization to classify images under PyTorch.

 

Algorithm Jupyter-Image-Classification-InceptionV3-PyTorch
Description Using PyTorch InceptionV3 for defect classification

 

Algorithm Jupyter-Image-Classification-InceptionV4-PyTorch
Description Using PyTorch InceptionV4 for defect classification

 

Algorithm Jupyter-Image-Classification-Inception_ResNet_v1-PyTorch
Description Using PyTorch Inception_ResNet_v1 for defect classification

 

Algorithm Jupyter-Image-Classification-Inception_ResNet_v2-PyTorch
Description Using PyTorch Inception_ResNet_v2 for defect classification

 

Algorithm Jupyter-Image-Classification-MNASNet-PyTorch
Description Using PyTorch MNASNet for defect classification

 

Algorithm Jupyter-Image-Classification-MobileNetV1-PyTorch
Description Using PyTorch MobileNetV1 for defect classification

 

Algorithm Jupyter-Image-Classification-MobileNetV2-PyTorch
Description Using PyTorch MobileNetV2 for defect classification

 

Algorithm Jupyter-Image-Classification-MobileNetV3-PyTorch
Description Using PyTorch MobileNetV3 for defect classification

 

Algorithm Jupyter-Image-Classification-PreactresNet18-PyTorch
Description Using PyTorch PreactresNet18 for defect classification

 

Algorithm Jupyter-Image-Classification-RegNet-PyTorch
Description Using PyTorch RegNet for defect classification

 

Algorithm Jupyter-Image-Classification-Resnet_in_Resnet-PyTorch
Description Using PyTorch Resnet_in_Resnet for defect classification

 

Algorithm Jupyter-Image-Classification-ResNet50-PyTorch
Description Using PyTorch ResNet50 for defect classification

 

Algorithm Jupyter-Image-Classification-ResNeXt101-PyTorch
Description Using PyTorch ResNeXt101 for defect classification

 

Algorithm Jupyter-Image-Classification-SENet-PyTorch
Description Using PyTorch SENet for defect classification

 

Algorithm Jupyter-Image-Classification-ShuffleNetV1-PyTorch
Description Using PyTorch ShuffleNetV1 for defect classification

 

Algorithm Jupyter-Image-Classification-ShuffleNetV2-PyTorch
Description Using PyTorch ShuffleNetV2 for defect classification

 

Algorithm Jupyter-Image-Classification-SqueezeNet-PyTorch
Description Using PyTorch SqueezeNet for defect classification

 

Algorithm Jupyter-Image-Classification-VGG16-PyTorch
Description Using PyTorch VGG16 for defect classification

 

Algorithm Jupyter-Image-Classification-Xception-PyTorch
Description Using PyTorch Xception for defect classification

 

Algorithm Jupyter-Image-FaceNet
Description FaceNet face recognition

 

Algorithm Jupyter-Image-Fingerprint-Recognition
Description Image fingerprint recognition

 

Algorithm Jupyter-Image-Ganomaly
Description Use GANomaly for defect detection

 

Algorithm Jupyter-Image-Gauge-Reader
Description Gauge scale detection

 

Algorithm Jupyter-Image-Human-Pose-PyTorch
Description Detect human posture

 

Algorithm Jupyter-Image-LPRNet-PyTorch
Description Use LPRNet to identify license plates

 

Algorithm Jupyter-Image-Object-Detection-CSPResNeXt50-PANet-SPP-CPP
Description PyTorch CSPResNeXt50 PANet for detecting surface defects

 

Algorithm Jupyter-Image-Object-Detection-DETR-PyTorch
Description PyTorch DETR for detecting surface defects

 

Algorithm Jupyter-Image-Object-Detection-EfficientDet-Keras
Description Keras EfficientDet for detecting surface defects

 

Algorithm Jupyter-Image-Object-Detection-FasterRCNN-Keras
Description Keras FasterRCNN for detecting surface defects

 

Algorithm Jupyter-Image-Object-Detection-MobileNetV1-SSD300-PyTorch
Description PyTorch MobileNetV1-SSD300 for detecting surface defects

 

Algorithm Jupyter-Image-Object-Detection-MobileNetV1-SSD512-PyTorch
Description PyTorch MobileNetV1-SSD512 for detecting surface defects

 

Algorithm Jupyter-Image-Object-Detection-MobileNetV2-SSD300-PyTorch
Description PyTorch MobileNetV2-SSD300 for detecting surface defects

 

Algorithm Jupyter-Image-Object-Detection-MobileNetV2-SSD512-PyTorch
Description PyTorch MobileNetV2-SSD512 for detecting surface defects

 

Algorithm Jupyter-Image-Object-Detection-MobileNetV3-SSD300-PyTorch
Description PyTorch MobileNetV3-SSD300 for detecting surface defects

 

Algorithm Jupyter-Image-Object-Detection-MobileNetV3-SSD512-PyTorch
Description PyTorch MobileNetV3-SSD512 for detecting surface defects

 

Algorithm Jupyter-Image-Object-Detection-ResNet152-SSD512-PyTorch
Description PyTorch ResNet152-SSD512 for detecting surface defects

 

Algorithm Jupyter-Image-Object-Detection-ResNet50-SSD300-PyTorch
Description PyTorch ResNet50-SSD300 for detecting surface defects

 

Algorithm Jupyter-Image-Object-Detection-ResNet50-SSD512-PyTorch
Description PyTorch ResNet50-SSD512 for detecting surface defects

 

Algorithm Jupyter-Image-Object-Detection-VGG16-SSD512-PyTorch
Description PyTorch VGG16-SSD512 for detecting surface defects

 

Algorithm Jupyter-Image-Object-Detection-VGG19-SSD512-PyTorch
Description PyTorch VGG19-SSD512 for detecting surface defects

 

Algorithm Jupyter-Image-Object-Detection-YOLOv4-CPP
Description YOLOv4 for detecting surface defects

 

Algorithm Jupyter-Image-Object-Detection-YOLOv4-Multiple-Object-Tracking-CPP
Description Use YOLOv4 for multi-object tracking

 

Algorithm Jupyter-Image-Object-Detection-YOLOv4-Tiny-CPP
Description YOLOv4 Tiny for detecting surface defects

 

Algorithm Jupyter-Image-OCR
Description Python. Character recognition with Tesseract-OCR

 

Algorithm Jupyter-Image-ONNX
Description Use ONNX model for image classification, image detection, image segmentation

 

Algorithm Jupyter-Image-OpenCV-Adaptive-Threshold
Description Python. OpenCV adaptive threshold

 

Algorithm Jupyter-Image-OpenCV-Add
Description Python. OpenCV image add

 

Algorithm Jupyter-Image-OpenCV-Bilateral-Filter
Description Python. OpenCV bilateral filter

 

Algorithm Jupyter-Image-OpenCV-Binarize
Description Python. OpenCV image binarization

 

Algorithm Jupyter-Image-OpenCV-Black-Hat
Description Python OpenCV for morphology Black Hat

 

Algorithm Jupyter-Image-OpenCV-Blob
Description Python OpenCV Blob. binary image geometry extraction and separation

 

Algorithm Jupyter-Image-OpenCV-Blur
Description Python. OpenCV image blur

 

Algorithm Jupyter-Image-OpenCV-Brightness
Description Python. OpenCV image brightness

 

Algorithm Jupyter-Image-OpenCV-Canny
Description Python. OpenCV Canny edge detection

 

Algorithm Jupyter-Image-OpenCV-Capture-Image
Description Python OpenCV. Continuously capture images from webcam and display on screen

 

Algorithm Jupyter-Image-OpenCV-Connected-Components
Description Python OpenCV image connected component labeling method

 

Algorithm Jupyter-Image-OpenCV-Copy
Description Python. OpenCV image copy

 

Algorithm Jupyter-Image-OpenCV-Create-And-Fill
Description Python. OpenCV create and fill

 

Algorithm Jupyter-Image-OpenCV-Crop
Description Python. OpenCV image crop

 

Algorithm Jupyter-Image-OpenCV-DCT
Description Python. OpenCV image DCT frequency domain

 

Algorithm Jupyter-Image-OpenCV-DeBlur
Description Python. OpenCV image deblurring

 

Algorithm Jupyter-Image-OpenCV-DFT
Description Python. OpenCV image DFT frequency domain

 

Algorithm Jupyter-Image-OpenCV-Dilation
Description OpenCV image dilation example

 

Algorithm Jupyter-Image-OpenCV-Erosion
Description OpenCV image erosion example

 

Algorithm Jupyter-Image-OpenCV-Filter2D
Description OpenCV filter2D example

 

Algorithm Jupyter-Image-OpenCV-Find-Contours
Description OpenCV image find contours

 

Algorithm Jupyter-Image-OpenCV-Gaussian-Blur
Description OpenCV image Gaussian blur example

 

Algorithm Jupyter-Image-OpenCV-GetWH
Description OpenCV example of getting image width and height

 

Algorithm Jupyter-Image-OpenCV-Gray
Description Python OpenCV. Read the color image file of input.png and convert it to grayscale and display it on the screen

 

Algorithm Jupyter-Image-OpenCV-Histogram-Calculation
Description OpenCV histogram calculation example

 

Algorithm Jupyter-Image-OpenCV-Histogram-Comparison
Description OpenCV histogram comparison example

 

Algorithm Jupyter-Image-OpenCV-Histogram-Equalization
Description OpenCV histogram equalization example

 

Algorithm Jupyter-Image-OpenCV-Hough-Circle-Transform
Description OpenCV image Hough circle transform

 

Algorithm Jupyter-Image-OpenCV-Hough-Transform
Description OpenCV image Hough line transform

 

Algorithm Jupyter-Image-OpenCV-InRange
Description OpenCV inRange example

 

Algorithm Jupyter-Image-OpenCV-Laplace
Description OpenCV Laplace example

 

Algorithm Jupyter-Image-OpenCV-Median-Blur
Description OpenCV image blur example

 

Algorithm Jupyter-Image-OpenCV-Merge
Description OpenCV image merge example

 

Algorithm Jupyter-Image-OpenCV-Morphological-Gradient
Description OpenCV image gradient example

 

Algorithm Jupyter-Image-OpenCV-Opening-And-Closing
Description OpenCV morphology examples of open and close

 

Algorithm Jupyter-Image-OpenCV-Read-Write-Image-File
Description Python OpenCV. Reads input.png and saves it as output.jpg

 

Algorithm Jupyter-Image-OpenCV-ReMap
Description OpenCV image remap example

 

Algorithm Jupyter-Image-OpenCV-Resize
Description OpenCV image resize example

 

Algorithm Jupyter-Image-OpenCV-Rotate
Description OpenCV image rotation example

 

Algorithm Jupyter-Image-OpenCV-Sharpness
Description OpenCV image sharpness example

 

Algorithm Jupyter-Image-OpenCV-Shift
Description OpenCV image shift example

 

Algorithm Jupyter-Image-OpenCV-Sobel
Description OpenCV Sobel algorithm example

 

Algorithm Jupyter-Image-OpenCV-Split
Description OpenCV split example

 

Algorithm Jupyter-Image-OpenCV-Top-Hat
Description OpenCV top hat calculation example

 

Algorithm Jupyter-Image-QRcode-Generator
Description Generate QR code barcode

 

Algorithm Jupyter-Image-Screen-Capture
Description Python. After capturing the desktop screen, save it to output.png

 

Algorithm Jupyter-Image-Segmentation-MaskRCNN-Keras
Description Image instance segmentation with  MaskRCNN

 

Algorithm Jupyter-Image-Segmentation-UNet-Keras
Description Image semantic segmentation drugs using UNet

 

Algorithm Jupyter-Image-Segmentation-YOLACT-PyTorch
Description Image object segmentation using YOLACT

 

Algorithm Jupyter-Image-Stitching
Description Image stitching using brisk feature extraction algorithm

 

Algorithm Jupyter-Keyboard
Description Python. Send keyboard signal

 

Algorithm Jupyter-Model-Keras-to-ONNX
Description Convert Keras model to ONNX model

 

Algorithm Jupyter-Model-ONNX-To-OpenVINO
Description Convert ONNX model to OpenVINO model

 

Algorithm Jupyter-Model-ONNX-To-TensorRT
Description Convert ONNX model to TensorRT model

 

Algorithm Jupyter-Model-PyTorch-To-ONNX
Description Convert PyTorch model to ONNX model

 

Algorithm Jupyter-Model-TensorFlow-To-ONNX
Description Convert TensorFlow model to ONNX model

 

Algorithm Jupyter-Model-View-Netron
Description Show model architecture

 

Algorithm Jupyter-Model-YOLOv3-CPP-to-OpenVINO
Description Convert YOLOv3 CPP model to OpenVINO model

 

Algorithm Jupyter-Model-YOLOv4-CPP-to-PyTorch
Description Convert YOLOv4 CPP model to PyTorch model

 

Algorithm Jupyter-Mouse
Description Python. Send a command to move the mouse

 

Algorithm Jupyter-MySQL
Description Python. MySQL connection, delete, modify, query data

 

Algorithm Jupyter-OpenVINO
Description

OpenVINO example

Image_Crossroad_Camera

Image_Gaze_Estimation

Image_Human_Pose_Estimation

Image_Interactive_Face_Detection

Image_Mask_RCNN

Image_Multi_Channel_Face_Detection

Image_Multi_Channel_Human_Pose_Estimation Image_Multi_Channel_Object_Detection_YOLOv3

Image_Object_Detection_Faster_Rcnn

Image_Object_Detection_YOLOv3

Image_Pedestrian_Tracker

Image_Security_Barrier_Camera

Image_Segmentation

Image_Smart_Classroom

Image_Super_Resolution

Image_Super_Resolution_Text

Image_Text_Detection

Image_Text_Recognition

 

Algorithm Jupyter-PySide2
Description Python PySide2

 

Algorithm Jupyter-PySide2-OpenCV-Webcam
Description PySide2 interface displays webcam live images

 

Algorithm Jupyter-Python-DLL
Description Python. DLL example

 

Algorithm Jupyter-Python-For
Description Python. For example

 

Algorithm Jupyter-Python-Function
Description Python. Function example

 

Algorithm Jupyter-Python-Import
Description Python. Import example

 

Algorithm Jupyter-Python-Print
Description Python. Print example

 

Algorithm Jupyter-Python-Thread
Description Python. Thread example

 

Algorithm Jupyter-Python-Variable
Description Python. Variable example

 

Algorithm Jupyter-Python-While
Description Python. While example

 

Algorithm Jupyter-PyTorch-CUDA-Test
Description PyTorch CUDA Test

 

Algorithm Jupyter-Quote
Description Python Quote

 

Algorithm Jupyter-SMTP
Description Python. Simple Mail Transfer

 

Algorithm Jupyter-Sound-Play-Music
Description Python. Play mp3

 

Algorithm Jupyter-Sound-Play-Sound
Description Python. Play wav

 

Algorithm Jupyter-Sound-Spectrogram
Description Python. Sound spectrum

 

Algorithm Jupyter-Speech-To-Text
Description Python. Speech to text

 

Algorithm Jupyter-TensorFlow-CUDA-Test
Description Python TensorFlow CUDA Test

 

Algorithm Jupyter-Text-To-Speech
Description Python. Text-to-speech

 

Algorithm VS-OpenCV-Webcam
Description C# OpenCV Webcam example

 

Algorithm Web-OpenCV-CPP-Webcam
Description OpenCV reads the Webcam image and displays it on the web page

 

Algorithm Web-OpenCV-CPP-Python-Webcam
Description Use Python OpenCV to read Webcam images and display them on the web

 

 

 

[ Education Videos ]

 

 

YouTube

 

https://www.youtube.com/channel/UCA8xp3gjDGdzrd6qu_Gq1Kg

 

 

Facebook

 

https://www.facebook.com/leaderginc/

 

 

[Operation steps and instructions]

 

[Python Tools]

 

1. Unzip the file. After the download is complete, please use 7zip to unzip the file.

 

AI-ZOO-7Z.png

 

2. Open the app. Open the folder, find LEADERG-APP.exe, double click to open the application.

 

AI-ZOO-exe.png

 

3. Activate the application. If you have already activated the application, you can skip this step.

First, please click the [Activate] button, then enter your activation code and press enter key in the command window. When OK appears on the screen, the application is successfully activated. Finally, just restart the application and you can use AI-ZOO.

 

Activate.png

Activate-ok.png

 

4. Download Python. If your device supports NVIDIA GPU accelerated computing, please click [Download Python (GPU)]; if it does not support NVIDIA GPU accelerated computing, please click [Download Python (CPU)].

After clicking download, please wait patiently. As shown in the figure below, the screen will display the download progress bar, decompression progress bar, and update path one by one. Finally restart, you can start using LEADERG-AI-ZOO.

 

Download Python-Button.png

Download Python-Downloading.png

Download Python-Unzipping.png

Download Python-Complete.png

 

5. Execute command in Terminal. If your device supports NVIDIA GPU accelerated computing, please click [Terminal (GPU)]; if it does not support NVIDIA GPU accelerated computing, please click [Terminal (CPU)].

After opening the command prompt window, you can start typing commands.

 

Terminal.png

 

6. Jupyter Lab

If your device supports NVIDIA GPU accelerated computing, please click [Jupyter Lab (GPU)]; if it does not support NVIDIA GPU accelerated computing, please click [Jupyter Lab (CPU)].

 

Jupyter Lab.png

 

 

7. Spyder. Python language development environment. If your device supports NVIDIA GPU accelerated computing, please click [Spyder (GPU)]; if it does not support NVIDIA GPU accelerated computing, please click [Spyder (CPU)].

After opening Spyder, you can start writing your own code, or load the .py source code.

 

Spyder-Python IDE.png

 

[Solutions]

 

1. How to download solutions : Please click [Download Solutions]. Then select the solution you are interested in and then click [Download].

 

Download Solutions.png

 

2. How to browse solutions : Click [Browse Solutions] to open the file location of the solutions.

 

Browse Solutions.png

 

3. How to run the solution: Please refer to [Python Tools] point six, use Jupyter Lab to run the solution.

 

Run Solution.png

 

[Annotation Tools]

 

1. Annotation is labeling software. Click to use.

 

Annotation.png

 

3. LabelImg is labeling software. Click to use.

 

LabelImg.png

 

3. Labelme is labeling software. Click to use.

 

Labelme.png

 

[Advanced Tools]

1. Activate, activate the application. Please refer to the third point of [Python Tools] for detailed usage.

2. Update, software update. Click this button to check whether the current ai-zoo version is the latest. If it is not the latest version, it will be automatically upgraded to the latest released AI-ZOO.

 

Upgrade Software.png

 

3. Doc and Video. If you want to get more technical articles and instructions about AI-ZOO, please click the [Doc and Video] button to get more information.

 

Doc and Video.png

 

4. How To Buy. If you think AI-ZOO meets your needs and want to use it further, please click this button.

 

How To Buy.png

 

 

 

[ Software Download Link ]

 

 

https://www.leaderg.com/ai-zoo/download

 

 


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