hubenchang0515 / TinyOCR
轻量级中文OCR
☆12Updated 4 months ago
Alternatives and similar repositories for TinyOCR:
Users that are interested in TinyOCR are comparing it to the libraries listed below
- ppstructure deploy by ncnn☆30Updated 8 months ago
- 使用ONNXRuntime部署鲁棒性视频抠图,包含C++和Python两种版本的程序☆43Updated 3 years ago
- ChineseOcr Lite Mnn,超轻量级中文OCR PC Demo,使用MNN推理☆26Updated 4 years ago
- RapidOCR ncnn 推理☆61Updated last year
- Visual comparison for YUV and JPG/PNG images.☆14Updated 10 months ago
- chineseocr lite onnx to ncnn,超轻量级中文ocr demo,支持ncnn推理 ( dbnet+crnn+anglenet)☆53Updated 2 years ago
- a naive example of LivePortrait infer by ncnn☆41Updated 7 months ago
- ncnn version of CodeFormer☆103Updated 2 years ago
- ☆73Updated last year
- a demo of Animeganv2 infer by ncnn☆22Updated 3 years ago
- 基于ncnn的手机端轻量级人脸检测和关键点定位模型☆52Updated 3 years ago
- some ncnn demos of FunASR☆24Updated 6 months ago
- ncnn demo of (文档矫正)DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction☆43Updated 3 years ago
- ncnn Android demo of PP-TinyPose☆25Updated 3 years ago
- ☆36Updated last year
- 使用OpenCV部署CoupledTPS,包含了肖像矫正,不规则边界的图像矩形化,旋转图像矫正,三个模型。依然是包含C++和Python两个版本的程序☆18Updated 8 months ago
- Make a minimal OpenCV runable on any where, WIP☆83Updated 2 years ago
- 使用BiSeNet做人脸面部解析,包含了基于pytorch, opencv, onnxruntime三种库的程序实现,并且比较了在调用三种库的输入和输出的差异☆12Updated 3 years ago
- for calculating euler angle test in ncnn☆11Updated 5 years ago
- ⚡️Real-time portrait segmentation☆44Updated 3 years ago
- GPT2⚡NCNN⚡中文对话⚡x86⚡Android☆79Updated 3 years ago
- Facial_106_Landmarks☆24Updated 4 years ago
- a naive NCNN implementation of GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration☆80Updated 3 years ago
- the C++ version of Seq2Seq with ncnn☆23Updated 3 years ago
- DragGan in NCNN with c++☆50Updated last year
- This a demo of BlazeFace infer by ncnn☆91Updated 2 years ago
- 使用ONNXRuntime部署DeDoDe:"局部特征匹配:检测,不要描述——描述,不要检测"。依然是C++和Python两个版本的程序☆22Updated last year
- 移动端快速人脸检测模型是基于RetinaFace的优化去掉stride8以及stride32和stride16的landmark 在CPU位Intel(R) Pentium(R) CPU G2020 @ 2.90GHz(2900 MHz)的设备中人脸检测可达到40ms/帧☆15Updated 5 years ago
- Android 版本MTCNN Landmark 106, ncnn优化☆37Updated 5 years ago
- ☆40Updated 2 years ago