whale是kaggle比赛[鲸鱼图像]([https: www.kaggle.com c humpback-whale- identification )识别的简化版,本文是对Top3大神pudae算法复现](https: www.kaggle.com c humpback- whale- identification \)%E8%AF%86%E5%88%AB%E7%9A%84%E7%AE%80%E5%8C%96%E7%89%88%EF%BC%8C%E6%9C%AC%E6%96%87%E6%98%AF%E5%AF%B9Top3%E5%A4%A7%E7%A5%9Epudae%E7%AE%97%E6%B3%95%E5%A4%8D%E7%8E%B0),
Whale is a simplified version of the recognition of the Kaggle contest [Whale Image] ([https: www.kaggle.com c humpback whale - identification). This article is a reproduction of the Top3 god putae algorithm] (https: www.kaggle.com c humpback whale - identification )% E8% AF% 86% E5% 88% AB% E7% 9A% 84% E7% AE% 80% E5% 8C% 96% E7% 89% 88% EF% BC% 8C% E6% 9C% AC% E6% 96% 87% E6% 98% AF% E5% AF% B9Top3% E5% A4% A7% E7% A5% 9Epudae% E7% AE% 97% E6% B3% 95% E5% A4% 8D% E7% 8E% B0), (2023-06-17, Python, 0KB, 下载0次)
根据这个[https: github.com matterport Mask_RCNN修改的FPN](https: github.com matterport Mask_RCNN%E4%BF%AE%E6%94%B9%E7%9A%84FPN)
According to this [https: github.com matterport Mask_RCNN modified FPN] (https: github.com matterport Mask_RCNN% E4% BF% AE% E6% 94% B9% E7% 9A% 84FPN) (2018-03-02, Python, 50KB, 下载0次)
参考[https: github.com jiemojiemo some_specular_detection_and_inpainting_methods_for_endoscope_image,对源码matlab版本不同进行了修改...](https: github.com jiemojiemo some_specular_detection_and_inpainting_methods_for_endoscope_image%EF%BC%8C%E5%AF%B9%E6%BA%90%E7%A0%81matlab%E7%89%88%E6%9C%AC%E4%B8%8D%E5%90%8C%E8%BF%9B%E8%A1%8C%E4%BA%86%E4%BF%AE%E6%94%B9%EF%BC%8C%E5%9C%A8matlab2018%E4%BB%A5%E4%B8%8B%E4%B9%9F%E5%8F%AF%E7%94%A8%E6%AD%A3%E5%B8%B8%E4%BD%BF%E7%94%A8)
Refer to [https: github.com jiemojiemo some_specular_detection_and_inpainting_methods_for_endoscope_image, and modify the source code matlab versions...] (https: github.com jiemojiemo some_specular_detection_and_inpainting_methods_for_endoscope_image% EF% BC% 8C% E5% AF% B9% E6% BA% 90% E7% A0% 81matlab% E7% 89% 88% E6% 9C% AC% E4% B8% 8D% E5% 90% 8C% E8% BF% 9B% E8% A1% 8C% E4% BA% 86% E4% BF% AE% E6% 94% B9% EF% BC% 8C% E5% 9C% A8matlab2018% E4% BB% A5% E4% B8% 8B% E4% B9% 9F% E5% 8F% AF% E7% 94% A8% E6% AD% A3% E5% B8% B8% E4% BD% BF% E7% 94% A8) (2021-01-05, matlab, 4765KB, 下载0次)
我们使用CNN和转移学习将胸部X光图像分为冠心病、正常和肺炎。考虑到小数据...
We classify chest X-ray images with Covid, normal and pneumonia using CNN and transfer learning. Given the small dataset, we use k-fold cross validation for training the model, reaching accuracies of ~97%. on the test data. We also construct a confusion matrix and P-R curve (2021-09-17, Jupyter Notebook, 250792KB, 下载0次)
评估用于行人检测任务的最先进的目标检测算法。算法包括...
Evaluation of state-of-the-art object detection algorithms for the task of pedestrian detection. The algorithms include; Faster-RCNN, RPN+BF, YOLO, and SSD. (2017-10-12, matlab, 23120KB, 下载1次)
基于python- opencv的车牌识别demo(参考:[https: blog.csdn.net weixin_41695564 article details 79712393进行了修改](https: blog.csdn.net weixin_41695564 article details 79712393%E8%BF%9B%E8%A1%8C%E4%BA%86%E4%BF%AE%E6%94%B9))
Demo for license plate recognition based on Python opencv (reference: [https: blog.csdn.net weixin_41695564 article details 79712393 modified] (https: blog.csdn.net weixin_41695564 article details 79712393% E8% BF% 9B% E8% A1% 8C% E4% BA% 86% E4% BF% AE% E6% 94% B9) (2021-11-25, Python, 122837KB, 下载0次)
基于Bloom滤波器的多生物特征BTP方案
Multi-biometric BTP scheme based on Bloom filters (2017-11-14, Python, 410KB, 下载0次)
源程序来自于:[https: github.com sgrvinod a-PyTorch-Tutorial-to-Object- Detection。但是原作者的环境是:](https: github.com sgrvinod a-PyTorch-Tutorial-to- Object- Detection%E3%80%82%E4%BD%86%E6%98%AF%E5%8E%9F%E4%BD%9C%E8%80%85%E7%9A%84%E7%8E%AF%E5%A2%83%E6%98%AF%EF%BC%9A) `PyTorch 0.4` in `Python 3.6`。在用...
The source program comes from: [https: github.com sgrVinod a-PyTorch Tutorial to Object - Detection. However, the original author s environment is:] (https: github.com sgrVinod a-PyTorch Tutorial to Object - Detection% E3% 80% 82% E4% BD% 86% E6% 98% AF% E5% 8E% 9F% E4% BD% 9C% E8% 80% 85% E7% 9A% 84% E7% 8E% AF% E5% A2% 83% E6% 98% AF% EF% BC% 9A) PyTorch 0.4 in Python 3.6 . In use (2020-08-02, Python, 20645KB, 下载0次)
建立一个交通标志识别项目，该数据集有超过50000张43类的图像。我能够重新...
Building a Traffic Sign Recognition Project, This dataset has more than 50,000 images of 43 classes. I was able to reach a 98.889% validation accuracy, and a 97.2% testing accuracy. (2019-05-06, HTML, 8408KB, 下载0次)
开发了一个5层序列卷积神经网络，使用Keras和Tensorflow后端进行数字识别...
Developed a 5-layer Sequential Convolutional Neural Network using Keras with Tensorflow backend for digit recognition trained on MNIST dataset. Adjusted parameters such as kernel size, activation function and optimizer properties to compute the best fit. Obtained an accuracy of 97.12%. Performed Data Augmentation such as image scaling, image (2018-04-20, Python, 5KB, 下载0次)
2.3.2模块版本（未维护，但A1 A2 ACL稳定）
2.3.2 versions of the modules (not maintained but A1 A2 ACL are stable) (2009-08-20, PHP, 50KB, 下载0次)
KO3.2的简易授权-需要A1（用于身份验证）和ACL（用于授权）模块（KO3.1版本av...
Easy Authorization for KO3.2 - requires A1 (for Authentication) and ACL (for Authorization) modules (KO3.1 version available in separate branch) (2015-08-24, PHP, 4KB, 下载0次)
Kohana的Bcrypt身份验证（检查ACL和A2模块的授权）
Bcrypt Authentication for Kohana (check ACL & A2 modules for Authorization) (2015-05-05, PHP, 12KB, 下载0次)
Kohana的ACL（基于Zend_ACL）-与我的身份验证和授权的A1和A2模块配合得很好
ACL for Kohana (based on Zend_ACL) - works great with my A1 & A2 modules for Authentication & Authorization (2015-05-05, PHP, 6KB, 下载0次)
带激光雷达的Pi人脸考勤系统，基于人脸识别的考勤系统，可部署在带Movidius NCS2的Raspberry Pi上。RPLIDAR A1集成用于...
Face Recognition-based Attendance system deployable on Raspberry Pi with Movidius NCS2. RPLIDAR A1 is integrated for depth sensing to enable Door Access Control simulated with Pimoroni Blinkt! (2021-09-24, Python, 11970KB, 下载0次)
SC-Net,... , the classification average precision (AP) reaches 96.0%, 100%, 97.1%, 97.7%,respectively. (1)用途:一种使用图像级标签的弱监督表面...
SC-Net,... , The classification average precision (AP) reaches 96.0%, 100%, 97.1%, 97.7%, respectively. (1) Purpose: A weakly supervised surface using image level labels (2022-10-20, Others, 1986KB, 下载0次)
猫狗分类烧瓶应用程序，我们通过实现卷积神经网络（CNN）来对狗进行分类，成功地建立了一个深度神经网络模型...
We successfully built a deep neural network model by implementing Convolutional Neural Network (CNN) to classify dog and cat images with very high accuracy 97.32 %. In addition, we also built a Flask application so user can upload their images and classify easily. (2021-03-25, Jupyter Notebook, 12567KB, 下载0次)
mvo,A visual odometry project reference: [http: www.fengbing.net 2015 08 15 一步步实现单目视觉里程计3——初始位置确定 ](http: www.fengbing.net 2015 08 15 %E4%B8%80%E6%AD%A5%E6%AD%A5%E5%AE%9E%E7%8E%B0%E5%8D%95%E7%9B%AE%E8%A7%86%E8%A7%89%E9%87%8C%E7%A8%8B%E8%AE%A13%E2%80%94%E2%80%94%E5%88%9D%E5%A7%8B%E4%BD%8D%E7%BD%AE%E7%A1%AE%E5%AE%9A )
Mvo, A visual odometry project reference: [http: www.fengbing.net 2015 08 15 Step by Step Implementation of Monocular Visual Odometer 3- Initial Position Determination] (http: www.fengbing.net 2015 08 15% E4% B8% 80% E6% AD% A5% E6% AD% A5% E5% AE% 9E% E7% 8E% B0% E5% 8D% 95% E7% 9B% AE% E8% A7% 86% E8% A7% 89% E9% 87% 8C% E7% A8% 8B% E8% AE% A13% E2% 80% 94% E2% 80% 94% E5% 88% 9D% E5% A7% 8B% E4% BD% 8D% E7% BD% AE% E7% A1% AE% E5% AE% 9A) (2019-08-31, Python, 202KB, 下载0次)
maix3_opencv_python，用于MAIX-II Dock的opencv-python的Docker生成器（Allwinner V831:Cortex-A7和0.2TOPS NPU）
maix3_opencv_python,Docker builder for opencv-python for MAIX-II Dock ( Allwinner V831: Cortex-A7 and 0.2TOPS NPU ) (2022-06-21, Shell, 8KB, 下载0次)
OpenCVImageProcessing,CSDN专栏:OpenCV图像处理([http: blog.csdn.net column details opencv- image.html&page=3)的代码实现。](http: blog.csdn.net column details opencv- image.html&page=3\)%E7%9A%84%E4%BB%A3%E7%A0%81%E5%AE%9E%E7%8E%B0%E3%80%82)
OpenCVImageProcessing, CSDN Column: Code Implementation of OpenCV Image Processing ([http: blog. csdn. net column details opencv - image. html&page=3).] (http: blog. csdn. net column details opencv - image. html&page=3 )% E7% 9A% 84% E4% BB% A3% E7% A0% 81% E5% AE% 9E% E7% 8E% B0% E3% 80% 82) (2018-01-12, C++, 749KB, 下载0次)