YOLOv8 is an object detection algorithm launched in January 2023.

YOLOv8 is an object detection algorithm launched in January 2023. Compared with YOLOv7, the speed and accuracy are slightly improved.

Augment images with PyTorch Affine function like rotation, translation.

Simple burn-in solution. Test the stability of the CPU or GPU. If there is a problem with the GPU, the test will be abnormal after 30 minutes to an hour.

Batch convert image files. Convert image files to other image format files.

Simple burn-in APP. Test the stability of the CPU or GPU. If there is a problem with the GPU, the test will be abnormal after 30 minutes to an hour.

The latest work of Taiwan's pride, the branch of the most powerful object detection algorithm YOLOv7 - HumanPose, can detect human body position, key points (eyes, ears, nose, shoulders, elbows, wrists, hips, knees, ankles), and achieve fast Human pose detection.

Use YOLOv7 Pose to detect the human position, key point (eyes, ears, nose, shoulders, elbows, wrists, hips, knees, ankles), and achieve fast human pose detection.

Use CSPResNeXt50 for image classification. An example is to use steel plate defect classification. You can use this APP to train your images for image classification.

Text sentiment analysis.

The most powerful object detection algorithm in 2021.

Currently the fastest and most accurate open source face recognition algorithm.

YOLOv7 is the most powerful object detection algorithm now. We also can use it to do instance segmentation instead of Mask R-CNN.

YOLOv7 is the most powerful object detection algorithm now. We also can use it to do instance segmentation instead of Mask R-CNN.

OpenVINO is an open source tool platform for optimizing the speed of AI inference, improving the performance of common deep learning in computer vision, speech recognit

Mail can be sent automatically according to the recipient list.

Use YOLOv5 Pose to detect the human position, key point (eyes, ears, nose, shoulders, elbows, wrists, hips, knees, ankles), and achieve fast human pose detection.

Use UNet to segment the image. It can be applied to medical image analysis, defect image analysis, etc.

The latest work of the pride of Taiwan, the most powerful object detection algorithm YOLOv7 at present, greatly reduces the amount of calculation, and increases the spe

Use YOLOv7+Deepsot for real-time multi-object tracking, which can be applied to various fields such as monitoring systems and traffic flow analysis.

One of Taiwan's proud recent new works, YOLOR, the most powerful object detection algorithm last year, greatly reduces the amount of computation, and increases the

The CSPNet algorithm optimizes the deep learning network structure. In addition to the world's first accuracy, it can also maintain ultra-high inference speed on e

The latest work of the pride of Taiwan, the most powerful object detection algorithm YOLOv7 at present, greatly reduces the amount of calculation, and increases the spe

This app can automatically analyze big data classification, regression, and time series.

The advancement of AI technology has made it possible to automatically generate many things with AI. The language model of the GPT series can already generate articles

BERT for NLP has taken the AI by storm since its launch in 2018. In 2019, Google announced that it had begun using BERT in its search engine, and by the end of 2020, BE

GPT-2 is used to automatically generate an English article, and you can also enter any sentence to automatically generate an English article.

Use Python's pySerial package for serial port control.

Use OpenCV functions to analyze connected components of images.

Model conversion, an example of ONNX conversion to OpenVINO.

Use the method of rotating and adjusting the brightness to perform the image augmentation.

Model conversion, an example of Keras conversion to ONNX.

Use the feature comparison method to stitch the images.

Pix2Pix style conversion. Output the original image to the learned image style. For example: convert black and white to color, edge map to photo.

Generate 2D QRcode image.

Adjust the image size in batches.

Recognize fingerprint images.

Inheriting the algorithm MaskRCNN of FasterRCNN, it improves the original architecture and adds the part of Semantic Segmentation, which can segment, detect and classif

Generate one-dimensional barcode images of code39 and code128.

PSGAN can be used to apply makeup to a face image.

Test XGBoost uses GPU for training.

Use Support Vector Machine (SVM) to classify Iris flowers.

Examples of reading and writing Excel files.

Examples of reading and writing CSV files.

Read Sin from the file.

Use Python's matplotlib package to generate stock data (opening, closing, highest, lowest) charts.

Read JSON from the file and write JSON to the file.

Use YOLACT to segment the image.

Russian Alexey Bochkovskiy, the maintainer of YOLO Darknet, found that the CSPNet detector developed by Wang Jianyao, the post-doc of the Chinese Academy of Sciences an

Use 3D ResNets to classify images (videos).