| Line | Branch | Exec | Source |
|---|---|---|---|
| 1 | /* | ||
| 2 | * Copyright (c) 2019 Xuewei Meng | ||
| 3 | * | ||
| 4 | * This file is part of FFmpeg. | ||
| 5 | * | ||
| 6 | * FFmpeg is free software; you can redistribute it and/or | ||
| 7 | * modify it under the terms of the GNU Lesser General Public | ||
| 8 | * License as published by the Free Software Foundation; either | ||
| 9 | * version 2.1 of the License, or (at your option) any later version. | ||
| 10 | * | ||
| 11 | * FFmpeg is distributed in the hope that it will be useful, | ||
| 12 | * but WITHOUT ANY WARRANTY; without even the implied warranty of | ||
| 13 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU | ||
| 14 | * Lesser General Public License for more details. | ||
| 15 | * | ||
| 16 | * You should have received a copy of the GNU Lesser General Public | ||
| 17 | * License along with FFmpeg; if not, write to the Free Software | ||
| 18 | * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA | ||
| 19 | */ | ||
| 20 | |||
| 21 | /** | ||
| 22 | * @file | ||
| 23 | * Filter implementing image derain filter using deep convolutional networks. | ||
| 24 | * http://openaccess.thecvf.com/content_ECCV_2018/html/Xia_Li_Recurrent_Squeeze-and-Excitation_Context_ECCV_2018_paper.html | ||
| 25 | */ | ||
| 26 | |||
| 27 | #include "libavutil/opt.h" | ||
| 28 | #include "avfilter.h" | ||
| 29 | #include "dnn_filter_common.h" | ||
| 30 | #include "internal.h" | ||
| 31 | #include "video.h" | ||
| 32 | |||
| 33 | typedef struct DRContext { | ||
| 34 | const AVClass *class; | ||
| 35 | DnnContext dnnctx; | ||
| 36 | int filter_type; | ||
| 37 | } DRContext; | ||
| 38 | |||
| 39 | #define OFFSET(x) offsetof(DRContext, x) | ||
| 40 | #define FLAGS AV_OPT_FLAG_FILTERING_PARAM | AV_OPT_FLAG_VIDEO_PARAM | ||
| 41 | static const AVOption derain_options[] = { | ||
| 42 | { "filter_type", "filter type(derain/dehaze)", OFFSET(filter_type), AV_OPT_TYPE_INT, { .i64 = 0 }, 0, 1, FLAGS, .unit = "type" }, | ||
| 43 | { "derain", "derain filter flag", 0, AV_OPT_TYPE_CONST, { .i64 = 0 }, 0, 0, FLAGS, .unit = "type" }, | ||
| 44 | { "dehaze", "dehaze filter flag", 0, AV_OPT_TYPE_CONST, { .i64 = 1 }, 0, 0, FLAGS, .unit = "type" }, | ||
| 45 | { "dnn_backend", "DNN backend", OFFSET(dnnctx.backend_type), AV_OPT_TYPE_INT, { .i64 = 1 }, 0, 1, FLAGS, .unit = "backend" }, | ||
| 46 | #if (CONFIG_LIBTENSORFLOW == 1) | ||
| 47 | { "tensorflow", "tensorflow backend flag", 0, AV_OPT_TYPE_CONST, { .i64 = 1 }, 0, 0, FLAGS, .unit = "backend" }, | ||
| 48 | #endif | ||
| 49 | { "model", "path to model file", OFFSET(dnnctx.model_filename), AV_OPT_TYPE_STRING, { .str = NULL }, 0, 0, FLAGS }, | ||
| 50 | { "input", "input name of the model", OFFSET(dnnctx.model_inputname), AV_OPT_TYPE_STRING, { .str = "x" }, 0, 0, FLAGS }, | ||
| 51 | { "output", "output name of the model", OFFSET(dnnctx.model_outputnames_string), AV_OPT_TYPE_STRING, { .str = "y" }, 0, 0, FLAGS }, | ||
| 52 | { NULL } | ||
| 53 | }; | ||
| 54 | |||
| 55 | AVFILTER_DEFINE_CLASS(derain); | ||
| 56 | |||
| 57 | ✗ | static int filter_frame(AVFilterLink *inlink, AVFrame *in) | |
| 58 | { | ||
| 59 | ✗ | DNNAsyncStatusType async_state = 0; | |
| 60 | ✗ | AVFilterContext *ctx = inlink->dst; | |
| 61 | ✗ | AVFilterLink *outlink = ctx->outputs[0]; | |
| 62 | ✗ | DRContext *dr_context = ctx->priv; | |
| 63 | int dnn_result; | ||
| 64 | AVFrame *out; | ||
| 65 | |||
| 66 | ✗ | out = ff_get_video_buffer(outlink, outlink->w, outlink->h); | |
| 67 | ✗ | if (!out) { | |
| 68 | ✗ | av_log(ctx, AV_LOG_ERROR, "could not allocate memory for output frame\n"); | |
| 69 | ✗ | av_frame_free(&in); | |
| 70 | ✗ | return AVERROR(ENOMEM); | |
| 71 | } | ||
| 72 | ✗ | av_frame_copy_props(out, in); | |
| 73 | |||
| 74 | ✗ | dnn_result = ff_dnn_execute_model(&dr_context->dnnctx, in, out); | |
| 75 | ✗ | if (dnn_result != 0){ | |
| 76 | ✗ | av_log(ctx, AV_LOG_ERROR, "failed to execute model\n"); | |
| 77 | ✗ | av_frame_free(&in); | |
| 78 | ✗ | return dnn_result; | |
| 79 | } | ||
| 80 | do { | ||
| 81 | ✗ | async_state = ff_dnn_get_result(&dr_context->dnnctx, &in, &out); | |
| 82 | ✗ | } while (async_state == DAST_NOT_READY); | |
| 83 | |||
| 84 | ✗ | if (async_state != DAST_SUCCESS) | |
| 85 | ✗ | return AVERROR(EINVAL); | |
| 86 | |||
| 87 | ✗ | av_frame_free(&in); | |
| 88 | |||
| 89 | ✗ | return ff_filter_frame(outlink, out); | |
| 90 | } | ||
| 91 | |||
| 92 | ✗ | static av_cold int init(AVFilterContext *ctx) | |
| 93 | { | ||
| 94 | ✗ | DRContext *dr_context = ctx->priv; | |
| 95 | ✗ | return ff_dnn_init(&dr_context->dnnctx, DFT_PROCESS_FRAME, ctx); | |
| 96 | } | ||
| 97 | |||
| 98 | ✗ | static av_cold void uninit(AVFilterContext *ctx) | |
| 99 | { | ||
| 100 | ✗ | DRContext *dr_context = ctx->priv; | |
| 101 | ✗ | ff_dnn_uninit(&dr_context->dnnctx); | |
| 102 | ✗ | } | |
| 103 | |||
| 104 | static const AVFilterPad derain_inputs[] = { | ||
| 105 | { | ||
| 106 | .name = "default", | ||
| 107 | .type = AVMEDIA_TYPE_VIDEO, | ||
| 108 | .filter_frame = filter_frame, | ||
| 109 | }, | ||
| 110 | }; | ||
| 111 | |||
| 112 | const AVFilter ff_vf_derain = { | ||
| 113 | .name = "derain", | ||
| 114 | .description = NULL_IF_CONFIG_SMALL("Apply derain filter to the input."), | ||
| 115 | .priv_size = sizeof(DRContext), | ||
| 116 | .init = init, | ||
| 117 | .uninit = uninit, | ||
| 118 | FILTER_INPUTS(derain_inputs), | ||
| 119 | FILTER_OUTPUTS(ff_video_default_filterpad), | ||
| 120 | FILTER_SINGLE_PIXFMT(AV_PIX_FMT_RGB24), | ||
| 121 | .priv_class = &derain_class, | ||
| 122 | .flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC, | ||
| 123 | }; | ||
| 124 |