facefusion-api: 增加restful api 接口文件方便http调用。去除启动时，处理时模型校验，优化加载速度。 fork 官方仓库的 tag2.6.1

#### 相关说明
1. 增加restful api 接口文件方便http调用
2. 去除启动，处理时模型校验，优化加载速度
3. 如果需要指定运行 python版本，修改处理器，模型，线程数等命令 在restful_api.py 的process方法中的command 修改
4. 变更基于官方代码tag2.6.1
5. python restful_api.py启动
6. 需要手动[模型下载](https://www.123pan.com/s/Y23QTd-PtJmh.html)放到 .assets/models目录

restful接口请求示例

处理换脸接口
```curl
curl --location --request POST '127.0.0.1:7861/process' \
	--header 'Content-Type: application/json' \
	--data-raw '{
		"sources": [
			"C:\\Users\\Administrator\\Desktop\\0df431adcbef7609ca41e7b6292b02cb7dd99e4a.jpg", #upload，load接口返回的图片或者视频
			"C:\\Users\\Administrator\\Desktop\\005JErWoly4gkzi4c7oq9j30lx0dmdnd.png" #upload，load接口返回的图片或者视频
		],
		"target": "C:\\Users\\Administrator\\Desktop\\target.jpg" #upload，load接口返回的图片或者视频

```
上传本地文件
```curl
	curl --location --request POST 'http://127.0.0.1:7861/upload' \
	--header 'multipart/form-data; boundary=<在发送请求时计算>' \
	--form 'files=@"C:\\Users\\Administrator\\Desktop\\0df431adcbef7609ca41e7b6292b02cb7dd99e4a.jpg"'

:return: ["C:\\Users\\ADMINI~1\\AppData\\Local\\Temp\\tmpgc6loewr\\0df431adcbef7609ca41e7b6292b02cb7dd99e4a.jpg"]
```
加载网络文件到本地
```curl
curl --location --request POST '127.0.0.1:7861/load' \
	--header 'Content-Type: application/json' \
	--data-raw '["https://i1.hdslb.com/bfs/archive/9435dad4ccefc1672afdb723799d1a1810df37d5.jpg",
	"https://i1.hdslb.com/bfs/archive/9435dad4ccefc1672afdb723799d1a1810df37d5.jpg"]'

:param file_urls:  ["https://i1.hdslb.com/bfs/archive/9435dad4ccefc1672afdb723799d1a1810df37d5.jpg"]
	:return: ["C:\\Users\\ADMINI~1\\AppData\\Local\\Temp\\tmp2ecn7i18\\9435dad4ccefc1672afdb723799d1a1810df37d5.jpg"]
```

视频换脸 命令

```sh
E:\miniconda3\envs\facefusion3\python run.py --headless --execution-providers cpu cuda -s C:\Users\Administrator\Desktop\0df431adcbef7609ca41e7b6292b02cb7dd99e4a.jpg  -t C:\Users\Administrator\Desktop\result.mp4  -o C:\Users\Administrator\Desktop\resultresult.mp4
```

图片换脸

```sh
E:\miniconda3\envs\facefusion3\python run.py --headless --execution-providers cuda cpu  -s C:\Users\Administrator\Desktop\0df431adcbef7609ca41e7b6292b02cb7dd99e4a.jpg -s C:\Users\Administrator\Desktop\005JErWoly4gkzi4c7oq9j30lx0dmdnd.png -t  C:\Users\Administrator\Desktop\target.jpg -o .
```
命令提示
```sh
python run.py -h
```

FaceFusion
==========

> Next generation face swapper and enhancer.

[![Build Status](https://img.shields.io/github/actions/workflow/status/facefusion/facefusion/ci.yml.svg?branch=master)](https://github.com/facefusion/facefusion/actions?query=workflow:ci)
![License](https://img.shields.io/badge/license-MIT-green)

Preview
-------

![Preview](https://raw.githubusercontent.com/facefusion/facefusion/master/.github/preview.png?sanitize=true)

Installation
------------

Be aware, the [installation](https://docs.facefusion.io/installation) needs technical skills and is not recommended for beginners. In case you are not comfortable using a terminal, our [Windows Installer](https://buymeacoffee.com/henryruhs/e/251939) can have you up and running in minutes.

Usage
-----

Run the command:

```
python run.py [options]

options:
  -h, --help                                                                                                                                                                            show this help message and exit
  -c CONFIG_PATH, --config CONFIG_PATH                                                                                                                                                  choose the config file to override defaults
  -s SOURCE_PATHS, --source SOURCE_PATHS                                                                                                                                                choose single or multiple source images or audios
  -t TARGET_PATH, --target TARGET_PATH                                                                                                                                                  choose single target image or video
  -o OUTPUT_PATH, --output OUTPUT_PATH                                                                                                                                                  specify the output file or directory
  -v, --version                                                                                                                                                                         show program's version number and exit

misc:
  --force-download                                                                                                                                                                      force automate downloads and exit
  --skip-download                                                                                                                                                                       omit automate downloads and remote lookups
  --headless                                                                                                                                                                            run the program without a user interface
  --log-level {error,warn,info,debug}                                                                                                                                                   adjust the message severity displayed in the terminal

execution:
  --execution-device-id EXECUTION_DEVICE_ID                                                                                                                                             specify the device used for processing
  --execution-providers EXECUTION_PROVIDERS [EXECUTION_PROVIDERS ...]                                                                                                                   accelerate the model inference using different providers (choices: cpu, ...)
  --execution-thread-count [1-128]                                                                                                                                                      specify the amount of parallel threads while processing
  --execution-queue-count [1-32]                                                                                                                                                        specify the amount of frames each thread is processing

memory:
  --video-memory-strategy {strict,moderate,tolerant}                                                                                                                                    balance fast frame processing and low VRAM usage
  --system-memory-limit [0-128]                                                                                                                                                         limit the available RAM that can be used while processing

face analyser:
  --face-analyser-order {left-right,right-left,top-bottom,bottom-top,small-large,large-small,best-worst,worst-best}                                                                     specify the order in which the face analyser detects faces
  --face-analyser-age {child,teen,adult,senior}                                                                                                                                         filter the detected faces based on their age
  --face-analyser-gender {female,male}                                                                                                                                                  filter the detected faces based on their gender
  --face-detector-model {many,retinaface,scrfd,yoloface,yunet}                                                                                                                          choose the model responsible for detecting the face
  --face-detector-size FACE_DETECTOR_SIZE                                                                                                                                               specify the size of the frame provided to the face detector
  --face-detector-score [0.0-0.95]                                                                                                                                                      filter the detected faces base on the confidence score
  --face-landmarker-score [0.0-0.95]                                                                                                                                                    filter the detected landmarks base on the confidence score

face selector:
  --face-selector-mode {many,one,reference}                                                                                                                                             use reference based tracking or simple matching
  --reference-face-position REFERENCE_FACE_POSITION                                                                                                                                     specify the position used to create the reference face
  --reference-face-distance [0.0-1.45]                                                                                                                                                  specify the desired similarity between the reference face and target face
  --reference-frame-number REFERENCE_FRAME_NUMBER                                                                                                                                       specify the frame used to create the reference face

face mask:
  --face-mask-types FACE_MASK_TYPES [FACE_MASK_TYPES ...]                                                                                                                               mix and match different face mask types (choices: box, occlusion, region)
  --face-mask-blur [0.0-0.95]                                                                                                                                                           specify the degree of blur applied the box mask
  --face-mask-padding FACE_MASK_PADDING [FACE_MASK_PADDING ...]                                                                                                                         apply top, right, bottom and left padding to the box mask
  --face-mask-regions FACE_MASK_REGIONS [FACE_MASK_REGIONS ...]                                                                                                                         choose the facial features used for the region mask (choices: skin, left-eyebrow, right-eyebrow, left-eye, right-eye, glasses, nose, mouth, upper-lip, lower-lip)

frame extraction:
  --trim-frame-start TRIM_FRAME_START                                                                                                                                                   specify the the start frame of the target video
  --trim-frame-end TRIM_FRAME_END                                                                                                                                                       specify the the end frame of the target video
  --temp-frame-format {bmp,jpg,png}                                                                                                                                                     specify the temporary resources format
  --keep-temp                                                                                                                                                                           keep the temporary resources after processing

output creation:
  --output-image-quality [0-100]                                                                                                                                                        specify the image quality which translates to the compression factor
  --output-image-resolution OUTPUT_IMAGE_RESOLUTION                                                                                                                                     specify the image output resolution based on the target image
  --output-video-encoder {libx264,libx265,libvpx-vp9,h264_nvenc,hevc_nvenc,h264_amf,hevc_amf}                                                                                           specify the encoder use for the video compression
  --output-video-preset {ultrafast,superfast,veryfast,faster,fast,medium,slow,slower,veryslow}                                                                                          balance fast video processing and video file size
  --output-video-quality [0-100]                                                                                                                                                        specify the video quality which translates to the compression factor
  --output-video-resolution OUTPUT_VIDEO_RESOLUTION                                                                                                                                     specify the video output resolution based on the target video
  --output-video-fps OUTPUT_VIDEO_FPS                                                                                                                                                   specify the video output fps based on the target video
  --skip-audio                                                                                                                                                                          omit the audio from the target video

frame processors:
  --frame-processors FRAME_PROCESSORS [FRAME_PROCESSORS ...]                                                                                                                            load a single or multiple frame processors. (choices: face_debugger, face_enhancer, face_swapper, frame_colorizer, frame_enhancer, lip_syncer, ...)
  --face-debugger-items FACE_DEBUGGER_ITEMS [FACE_DEBUGGER_ITEMS ...]                                                                                                                   load a single or multiple frame processors (choices: bounding-box, face-landmark-5, face-landmark-5/68, face-landmark-68, face-landmark-68/5, face-mask, face-detector-score, face-landmarker-score, age, gender)
  --face-enhancer-model {codeformer,gfpgan_1.2,gfpgan_1.3,gfpgan_1.4,gpen_bfr_256,gpen_bfr_512,gpen_bfr_1024,gpen_bfr_2048,restoreformer_plus_plus}                                     choose the model responsible for enhancing the face
  --face-enhancer-blend [0-100]                                                                                                                                                         blend the enhanced into the previous face
  --face-swapper-model {blendswap_256,inswapper_128,inswapper_128_fp16,simswap_256,simswap_512_unofficial,uniface_256}                                                                  choose the model responsible for swapping the face
  --frame-colorizer-model {ddcolor,ddcolor_artistic,deoldify,deoldify_artistic,deoldify_stable}                                                                                         choose the model responsible for colorizing the frame
  --frame-colorizer-blend [0-100]                                                                                                                                                       blend the colorized into the previous frame
  --frame-colorizer-size {192x192,256x256,384x384,512x512}                                                                                                                              specify the size of the frame provided to the frame colorizer
  --frame-enhancer-model {clear_reality_x4,lsdir_x4,nomos8k_sc_x4,real_esrgan_x2,real_esrgan_x2_fp16,real_esrgan_x4,real_esrgan_x4_fp16,real_hatgan_x4,span_kendata_x4,ultra_sharp_x4}  choose the model responsible for enhancing the frame
  --frame-enhancer-blend [0-100]                                                                                                                                                        blend the enhanced into the previous frame
  --lip-syncer-model {wav2lip_gan}                                                                                                                                                      choose the model responsible for syncing the lips

uis:
  --open-browser                                                                                                                                                                        open the browser once the program is ready
  --ui-layouts UI_LAYOUTS [UI_LAYOUTS ...]                                                                                                                                              launch a single or multiple UI layouts (choices: benchmark, default, webcam, ...)
```

Documentation
-------------

Read the [documentation](https://docs.facefusion.io) for a deep dive.

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