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<p align="center"> NCNN Models </p>

The collection of pre-trained AI models, and how they were converted, deployed. 中文

About

The ncnn framework enables cross-device deployment with the help of the vulkan api. We pre-train models via pytorch, tensorflow, paddle etc. and then convert them to ncnn models for final deployment on Windows, mac, linux, android, ios, WebAssembly and uni-app. However, model conversion is not a one-click process and needs to be handled manually. In order to extend the boundary applications of ncnn, we have created this repository to receive any cases of successful or failed conversions.

How to contribute

Contribute tutorial

✅ : good to work ❌ : bad to work ⭕ : good to work, but not good to contribute 🤔 : not sure, but good to contribute 🔥🔥💥

Ncnn Models

We believe we will succeed in the end. 😂。

Model	Year	Size	From	Type	Convert	NCNN	Hot
roop	2023	276.7M	Onnx	face_swap	✅	🤔	🔥
nerf	2023	0.1MB	Pytorch	instant-ngp	✅	✅
codeformer	2023	212.5M	Pytorch	face_restoration	✅	✅	🔥
vits	2022	91MB	Pytorch	tts	✅	✅	🔥
stablediffusion	2022	1.7GB	Pytorch	diffusion	✅	✅	🔥
sherpa	2022	134MB	Pytorch	tts	✅	✅	🔥
DTLN	2022	1.9MB	Pytorch	audio_denoising	✅	✅
gpt2-chinese	2022	357MB		nlp		⭕
MAT	2022		Pytorch	image_inpainting	❌
RVM	2021	13.6MB	Pytorch	image_matting		✅
vitea	2022	52.9MB	Pytorch	image_matting	❌
AnimeGanV3	2022		Onnx	style_transfer	❌
HybridNets	2022		Pytorch	object_dection	❌
yolop	2021		Pytorch	object_dection	❌	🤔	💥
pfld	2019	4.9MB	Pytorch	face_dection	❌	✅
Anime	2021	18.8MB	Onnx	face_dection	✅	⭕
CaiT	2021	34.3MB	Pytorch	image_classification	✅
FastestDet	2022	0.4MB	Pytorch	object_dection	✅	✅	💥
yolov7	2022	12.1MB	Pytorch	object_dection	✅	✅
yolov6	2022	8.4MB	Pytorch	object_dection	⭕	✅
yolov5	2021	2.3MB	Pytorch	object_dection	✅	✅	💥
yolo-fastestv2	2021	0.4MB	Pytorch	object_dection	✅	✅	💥
yolox	2021	1.7MB	Pytorch	object_dection	✅	✅
nanodet	2020	2.3MB	Onnx	object_dection	✅	✅
DenseNet	2018	21.5MB	Pytorch	image_classification	✅	✅
resnet18	2015	22.8MB	Pytorch	image_classification	✅	✅
mobilenet_v2	2019	6.8MB	Pytorch	image_classification	✅	✅
mobilenet_v3	2019	10.7MB	Pytorch	image_classification	✅	✅
Res2Net	2021	88.2MB	Pytorch	image_classification	✅	✅
Res2Next50	2021	48.1MB	Pytorch	image_classification	✅	✅
shufflenetv2	2018	4.4MB	Onnx	image_classification	✅	✅
vgg16	2015	263MB	Pytorch	image_classification	✅	✅
efficientnet	2021	10.3MB	Pytorch	image_classification	✅	✅
deeplabv3	2017	21.5MB	Pytorch	image_matting	✅	✅
yolov7-mask	2022	86.6MB	Pytorch	image_matting	🤔	✅
deoldify	2019	242MB	Onnx	image_inpainting	🤔	✅
UltraFace	2019	0.6MB	Pytorch	face_dection	✅	✅
Anime2Real	2022	22.2MB	Pytorch	style_transfer	✅	✅
AnimeGanV2	2020	4.2MB	Pytorch	style_transfer	✅	✅
styletransfer	2016	3.2MB	Onnx	style_transfer	✅	✅
ifrnet	2022	5.6MB	Pytorch	video_frame_interpolation		✅
Rife	2021	10MB	Onnx	video_frame_interpolation		✅
GFPGAN	2021	214MB	Onnx	face_restoration		✅	💥