这篇文章主要介绍了.net 通过 WebAPI 调用 nsfwjs 进行视频鉴别,文末给大家提到了FFMPEG获取视频关键帧并保存成jpg图像的相关知识,需要的朋友可以参考下
1. npm 安装 nsfwjs
npm install express --save
npm install multer --save
npm install jpeg-js --save
npm install @tensorflow/tfjs-node --save
npm install nsfwjs --save
注意:安装 @tensorflow/tfjs-node 需要用到 python, 建议添加到用户环境变量 Path 中
2. 运行 WebAPI 服务
nsfwjs 作者提供了一个简单的 server.js 来提供 WebAPI 服务,为方便复制到这里
const express = require('express')
const multer = require('multer')
const jpeg = require('jpeg-js')
const tf = require('@tensorflow/tfjs-node')
const nsfw = require('nsfwjs')
const app = express()
const upload = multer()
let _model
const convert = async (img) => {
// Decoded image in UInt8 Byte array
const image = await jpeg.decode(img, true)
const numChannels = 3
const numPixels = image.width * image.height
const values = new Int32Array(numPixels * numChannels)
for (let i = 0; i < numPixels; i++)
for (let c = 0; c < numChannels; ++c)
values[i * numChannels + c] = image.data[i * 4 + c]
return tf.tensor3d(values, [image.height, image.width, numChannels], 'int32')
}
app.post('/nsfw', upload.single('image'), async (req, res) => {
if (!req.file) res.status(400).send('Missing image multipart/form-data')
else {
const image = await convert(req.file.buffer)
const predictions = await _model.classify(image)
image.dispose()
res.json(predictions)
}
})
const load_model = async () => {
_model = await nsfw.load() //you can specify module here
}
// Keep the model in memory, make sure it's loaded only once
load_model().then(() => app.listen(8080))
尝试运行这个服务 ( 注意这个app仅支持jpeg格式的图片 )
node server.js
用 curl 测试
curl --request POST localhost:8080/nsfw --header 'Content-Type: multipart/form-data' --data-binary 'image=@myimg.jpg'
想简单些,可以写成这样
curl -F "image=@myimg.jpg" "http://localhost:8080/nsfw"
Windows 下可以通过 Postman 来测试。
3. .net 封装调用
nsfwjs 的 WebAPI 服务能跑起来了,用 .net 封装调用就很简单了
3.1 首先通过 process 启动 node server.js,可以通过输出重定向隐藏控制台
3.2 通过 HttpClient 或者RestSharp 等客户端组件提交需要鉴别的图片,返回结果
3.3 想要分析视频,还可以参考下这篇文章:FFMPEG获取视频关键帧并保存成jpg图像(ps:文末介绍)。
通过调用 ffmpeg 或者使用 FFMpeg.AutoGen 编程实现截图
运行效果上来看还是不错的,200K 以内的图片一般都能在 200ms 内返回鉴别结果。
ps:下面看下FFMPEG获取视频关键帧并保存成jpg图像
1、命令行方式
1秒取1帧 r:rate
ffmpeg -i input.mp4 -f image2 -r 1 dstPath/image-%03d.jpg
提取I帧
ffmpeg -i input.mp4 -an -vf select='eq(pict_type\,I)' -vsync 2 -s 720*480 -f image2 dstPath/image-%03d.jpg
2、代码方式
提取I帧
//source: keyframe.cpp
#include <iostream>
#include <cstdio>
#include <cstring>
#define __STDC_CONSTANT_MACROS
extern "C"
{
#include <libavutil/imgutils.h>
#include <libavutil/samplefmt.h>
#include <libavutil/timestamp.h>
#include <libavutil/opt.h>
#include <libavcodec/avcodec.h>
#include <libavutil/channel_layout.h>
#include <libavutil/common.h>
#include <libavutil/imgutils.h>
#include <libavutil/mathematics.h>
#include <libavutil/samplefmt.h>
#include <libavutil/pixfmt.h>
#include <libavformat/avformat.h>
#include <libswscale/swscale.h>
#include <jpeglib.h>
}
using namespace std;
char errbuf[256];
char timebuf[256];
static AVFormatContext *fmt_ctx = NULL;
static AVCodecContext *video_dec_ctx = NULL;
static int width, height;
static enum AVPixelFormat pix_fmt;
static AVStream *video_stream = NULL;
static const char *src_filename = NULL;
static const char *output_dir = NULL;
static int video_stream_idx = -1;
static AVFrame *frame = NULL;
static AVFrame *pFrameRGB = NULL;
static AVPacket pkt;
static struct SwsContext *pSWSCtx = NULL;
static int video_frame_count = 0;
/* Enable or disable frame reference counting. You are not supposed to support
* both paths in your application but pick the one most appropriate to your
* needs. Look for the use of refcount in this example to see what are the
* differences of API usage between them. */
static int refcount = 0;
static void jpg_save(uint8_t *pRGBBuffer, int iFrame, int width, int height);
static int decode_packet(int *got_frame, int cached)
{
int ret = 0;
int decoded = pkt.size;
*got_frame = 0;
if (pkt.stream_index == video_stream_idx)
{
/* decode video frame */
ret = avcodec_decode_video2(video_dec_ctx, frame, got_frame, &pkt);
if (ret < 0)
{
fprintf(stderr, "Error decoding video frame (%s)\n", av_make_error_string(errbuf, sizeof(errbuf), ret));
return ret;
}
if (*got_frame)
{
if (frame->width != width || frame->height != height ||
frame->format != pix_fmt)
{
/* To handle this change, one could call av_image_alloc again and
* decode the following frames into another rawvideo file. */
fprintf(stderr, "Error: Width, height and pixel format have to be "
"constant in a rawvideo file, but the width, height or "
"pixel format of the input video changed:\n"
"old: width = %d, height = %d, format = %s\n"
"new: width = %d, height = %d, format = %s\n",
width, height, av_get_pix_fmt_name(pix_fmt),
frame->width, frame->height,
av_get_pix_fmt_name(frame->format));
return -1;
}
video_frame_count++;
static int iFrame = 0;
if (frame->key_frame == 1) //如果是关键帧
{
sws_scale(pSWSCtx, frame->data, frame->linesize, 0,
video_dec_ctx->height,
pFrameRGB->data, pFrameRGB->linesize);
// 保存到磁盘
iFrame++;
jpg_save(pFrameRGB->data[0], iFrame, width, height);
}
}
}
/* If we use frame reference counting, we own the data and need
* to de-reference it when we don't use it anymore */
if (*got_frame && refcount)
av_frame_unref(frame);
return decoded;
}
static int open_codec_context(int *stream_idx,
AVCodecContext **dec_ctx, AVFormatContext *fmt_ctx, enum AVMediaType type)
{
int ret, stream_index;
AVStream *st;
AVCodec *dec = NULL;
AVDictionary *opts = NULL;
ret = av_find_best_stream(fmt_ctx, type, -1, -1, NULL, 0);
if (ret < 0)
{
fprintf(stderr, "Could not find %s stream in input file '%s'\n",
av_get_media_type_string(type), src_filename);
return ret;
}
else
{
stream_index = ret;
st = fmt_ctx->streams[stream_index];
/* find decoder for the stream */
dec = avcodec_find_decoder(st->codecpar->codec_id);
if (!dec)
{
fprintf(stderr, "Failed to find %s codec\n",
av_get_media_type_string(type));
return AVERROR(EINVAL);
}
/* Allocate a codec context for the decoder */
*dec_ctx = avcodec_alloc_context3(dec);
if (!*dec_ctx)
{
fprintf(stderr, "Failed to allocate the %s codec context\n",
av_get_media_type_string(type));
return AVERROR(ENOMEM);
}
/* Copy codec parameters from input stream to output codec context */
if ((ret = avcodec_parameters_to_context(*dec_ctx, st->codecpar)) < 0)
{
fprintf(stderr, "Failed to copy %s codec parameters to decoder context\n",
av_get_media_type_string(type));
return ret;
}
/* Init the decoders, with or without reference counting */
av_dict_set(&opts, "refcounted_frames", refcount ? "1" : "0", 0);
if ((ret = avcodec_open2(*dec_ctx, dec, &opts)) < 0)
{
fprintf(stderr, "Failed to open %s codec\n",
av_get_media_type_string(type));
return ret;
}
*stream_idx = stream_index;
}
return 0;
}
static int get_format_from_sample_fmt(const char **fmt, enum AVSampleFormat sample_fmt)
{
int i;
struct sample_fmt_entry
{
enum AVSampleFormat sample_fmt;
const char *fmt_be, *fmt_le;
} sample_fmt_entries[] = {
{AV_SAMPLE_FMT_U8, "u8", "u8"},
{AV_SAMPLE_FMT_S16, "s16be", "s16le"},
{AV_SAMPLE_FMT_S32, "s32be", "s32le"},
{AV_SAMPLE_FMT_FLT, "f32be", "f32le"},
{AV_SAMPLE_FMT_DBL, "f64be", "f64le"},
};
*fmt = NULL;
for (i = 0; i < FF_ARRAY_ELEMS(sample_fmt_entries); i++)
{
struct sample_fmt_entry *entry = &sample_fmt_entries[i];
if (sample_fmt == entry->sample_fmt)
{
*fmt = AV_NE(entry->fmt_be, entry->fmt_le);
return 0;
}
}
fprintf(stderr,
"sample format %s is not supported as output format\n",
av_get_sample_fmt_name(sample_fmt));
return -1;
}
int main(int argc, char **argv)
{
int ret = 0, got_frame;
int numBytes = 0;
uint8_t *buffer;
if (argc != 3 && argc != 4)
{
fprintf(stderr, "usage: %s [-refcount] input_file ouput_dir\n"
"API example program to show how to read frames from an input file.\n"
"This program reads frames from a file, decodes them, and writes bmp keyframes\n"
"If the -refcount option is specified, the program use the\n"
"reference counting frame system which allows keeping a copy of\n"
"the data for longer than one decode call.\n"
"\n",
argv[0]);
exit(1);
}
if (argc == 4 && !strcmp(argv[1], "-refcount"))
{
refcount = 1;
argv++;
}
src_filename = argv[1];
output_dir = argv[2];
/* open input file, and allocate format context */
if (avformat_open_input(&fmt_ctx, src_filename, NULL, NULL) < 0)
{
fprintf(stderr, "Could not open source file %s\n", src_filename);
exit(1);
}
/* retrieve stream information */
if (avformat_find_stream_info(fmt_ctx, NULL) < 0)
{
fprintf(stderr, "Could not find stream information\n");
exit(1);
}
if (open_codec_context(&video_stream_idx, &video_dec_ctx, fmt_ctx, AVMEDIA_TYPE_VIDEO) >= 0)
{
video_stream = fmt_ctx->streams[video_stream_idx];
/* allocate image where the decoded image will be put */
width = video_dec_ctx->width;
height = video_dec_ctx->height;
pix_fmt = video_dec_ctx->pix_fmt;
}
else
{
goto end;
}
/* dump input information to stderr */
av_dump_format(fmt_ctx, 0, src_filename, 0);
if (!video_stream)
{
fprintf(stderr, "Could not find video stream in the input, aborting\n");
ret = 1;
goto end;
}
pFrameRGB = av_frame_alloc();
numBytes = avpicture_get_size(AV_PIX_FMT_BGR24, width, height);
buffer = av_malloc(numBytes);
avpicture_fill((AVPicture *)pFrameRGB, buffer, AV_PIX_FMT_BGR24, width, height);
pSWSCtx = sws_getContext(width, height, pix_fmt, width, height, AV_PIX_FMT_RGB24, SWS_BICUBIC, NULL, NULL, NULL);
frame = av_frame_alloc();
if (!frame)
{
fprintf(stderr, "Could not allocate frame\n");
ret = AVERROR(ENOMEM);
goto end;
}
/* initialize packet, set data to NULL, let the demuxer fill it */
av_init_packet(&pkt);
pkt.data = NULL;
pkt.size = 0;
if (video_stream)
printf("Demuxing video from file '%s' to dir: %s\n", src_filename, output_dir);
/* read frames from the file */
while (av_read_frame(fmt_ctx, &pkt) >= 0)
{
AVPacket orig_pkt = pkt;
do
{
ret = decode_packet(&got_frame, 0);
if (ret < 0)
break;
pkt.data += ret;
pkt.size -= ret;
} while (pkt.size > 0);
av_packet_unref(&orig_pkt);
}
/* flush cached frames */
pkt.data = NULL;
pkt.size = 0;
end:
if (video_dec_ctx)
avcodec_free_context(&video_dec_ctx);
if (fmt_ctx)
avformat_close_input(&fmt_ctx);
if (buffer)
av_free(buffer);
if (pFrameRGB)
av_frame_free(&pFrameRGB);
if (frame)
av_frame_free(&frame);
return ret < 0;
}
static void jpg_save(uint8_t *pRGBBuffer, int iFrame, int width, int height)
{
struct jpeg_compress_struct cinfo;
struct jpeg_error_mgr jerr;
char szFilename[1024];
int row_stride;
FILE *fp;
JSAMPROW row_pointer[1]; // 一行位图
cinfo.err = jpeg_std_error(&jerr);
jpeg_create_compress(&cinfo);
sprintf(szFilename, "%s/image-%03d.jpg", output_dir, iFrame); //图片名字为视频名+号码
fp = fopen(szFilename, "wb");
if (fp == NULL)
return;
jpeg_stdio_dest(&cinfo, fp);
cinfo.image_width = width; // 为图的宽和高,单位为像素
cinfo.image_height = height;
cinfo.input_components = 3; // 在此为1,表示灰度图, 如果是彩色位图,则为3
cinfo.in_color_space = JCS_RGB; //JCS_GRAYSCALE表示灰度图,JCS_RGB表示彩色图像
jpeg_set_defaults(&cinfo);
jpeg_set_quality(&cinfo, 80, 1);
jpeg_start_compress(&cinfo, TRUE);
row_stride = cinfo.image_width * 3; //每一行的字节数,如果不是索引图,此处需要乘以3
// 对每一行进行压缩
while (cinfo.next_scanline < cinfo.image_height)
{
row_pointer[0] = &(pRGBBuffer[cinfo.next_scanline * row_stride]);
jpeg_write_scanlines(&cinfo, row_pointer, 1);
}
jpeg_finish_compress(&cinfo);
jpeg_destroy_compress(&cinfo);
fclose(fp);
}
cat Makefile
keyframe:keyframe.cpp
g++ $< -o $@ `pkg-config --libs libavcodec libavformat libswscale libavutil` -ljpeg -fpermissive
到此这篇关于.net 通过 WebAPI 调用 nsfwjs 进行视频鉴别的文章就介绍到这了,更多相关.net WebAPI 视频鉴别内容请搜索得得之家以前的文章希望大家以后多多支持得得之家!
本文标题为:.net 通过 WebAPI 调用nsfwjs 进行视频鉴别功能
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