2018-06-06 17:22 GMT+03:00 Pedro Arthur <bygran...@gmail.com>:

> Hi,
>
> 2018-06-05 20:23 GMT-03:00 Sergey Lavrushkin <dual...@gmail.com>:
> > Here is the patch, that fixes described issues.
> When I try to run (video input), when tf is not enabled in configure it
> crashes.
>
>
> $ffmpeg -i in.mp4 -vf srcnn=dnn_backend=tensorflow out.mp4
>
> ffmpeg version N-91232-g256386fd3e Copyright (c) 2000-2018 the FFmpeg
> developers
>   built with gcc 7 (Ubuntu 7.3.0-16ubuntu3)
>   configuration:
>   libavutil      56. 18.102 / 56. 18.102
>   libavcodec     58. 19.105 / 58. 19.105
>   libavformat    58. 17.100 / 58. 17.100
>   libavdevice    58.  4.100 / 58.  4.100
>   libavfilter     7. 25.100 /  7. 25.100
>   libswscale      5.  2.100 /  5.  2.100
>   libswresample   3.  2.100 /  3.  2.100
> Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'in.mp4':
>   Metadata:
>     major_brand     : isom
>     minor_version   : 512
>     compatible_brands: isomiso2mp41
>     encoder         : Lavf58.17.100
>   Duration: 00:06:13.70, start: 0.000000, bitrate: 5912 kb/s
>     Stream #0:0(und): Video: mpeg4 (Simple Profile) (mp4v /
> 0x7634706D), yuv420p, 1280x720 [SAR 1:1 DAR 16:9], 5777 kb/s, 29.97
> fps, 29.97 tbr, 30k tbn, 30k tbc (default)
>     Metadata:
>       handler_name    : VideoHandler
>     Stream #0:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz,
> stereo, fltp, 128 kb/s (default)
>     Metadata:
>       handler_name    : SoundHandler
> Stream mapping:
>   Stream #0:0 -> #0:0 (mpeg4 (native) -> mpeg4 (native))
>   Stream #0:1 -> #0:1 (aac (native) -> aac (native))
> Press [q] to stop, [?] for help
> free(): invalid pointer
> Aborted (core dumped)
>
>
>
> When the output is an image, t does not crashes but neither fallback to
> native
>
>
> $ffmpeg -i in.jpg -vf srcnn=dnn_backend=tensorflow out.png
>
> ffmpeg version N-91232-g256386fd3e Copyright (c) 2000-2018 the FFmpeg
> developers
>   built with gcc 7 (Ubuntu 7.3.0-16ubuntu3)
>   configuration:
>   libavutil      56. 18.102 / 56. 18.102
>   libavcodec     58. 19.105 / 58. 19.105
>   libavformat    58. 17.100 / 58. 17.100
>   libavdevice    58.  4.100 / 58.  4.100
>   libavfilter     7. 25.100 /  7. 25.100
>   libswscale      5.  2.100 /  5.  2.100
>   libswresample   3.  2.100 /  3.  2.100
> Input #0, image2, from 'in.jpg':
>   Duration: 00:00:00.04, start: 0.000000, bitrate: 43469 kb/s
>     Stream #0:0: Video: mjpeg, yuvj444p(pc, bt470bg/unknown/unknown),
> 1192x670 [SAR 1:1 DAR 596:335], 25 tbr, 25 tbn, 25 tbc
> Stream mapping:
>   Stream #0:0 -> #0:0 (mjpeg (native) -> png (native))
> Press [q] to stop, [?] for help
> [Parsed_srcnn_0 @ 0x557d3ea55980] could not create DNN module for
> requested backend
> [AVFilterGraph @ 0x557d3ea102c0] Error initializing filter 'srcnn'
> with args 'dnn_backend=tensorflow'
> Error reinitializing filters!
> Failed to inject frame into filter network: Cannot allocate memory
> Error while processing the decoded data for stream #0:0
> Conversion failed!
>
>
> I think you could disable the tensorflow option if it is not enable in
> configure or fallback to native, either solution is ok for me.


I disabled tensorflow option when it is not configured with it. Here is the
updated patch.
I think, crash occurred due to improper call to av_freep for dnn_module.
Here is also the patch, that fixes this bug.
From 33c1e08b650f3724c1317f024d716c8234e283b6 Mon Sep 17 00:00:00 2001
From: Sergey Lavrushkin <dual...@gmail.com>
Date: Wed, 6 Jun 2018 01:44:40 +0300
Subject: [PATCH 1/2] libavfilter/vf_srcnn.c: adds DNN module backend AVOption,
 changes AV_LOG_INFO message to AV_LOG_VERBOSE.

---
 libavfilter/vf_srcnn.c | 25 +++++++++++--------------
 1 file changed, 11 insertions(+), 14 deletions(-)

diff --git a/libavfilter/vf_srcnn.c b/libavfilter/vf_srcnn.c
index 5c5e26b33a..bba54f6780 100644
--- a/libavfilter/vf_srcnn.c
+++ b/libavfilter/vf_srcnn.c
@@ -36,6 +36,7 @@ typedef struct SRCNNContext {
 
     char* model_filename;
     float* input_output_buf;
+    DNNBackendType backend_type;
     DNNModule* dnn_module;
     DNNModel* model;
     DNNData input_output;
@@ -44,6 +45,11 @@ typedef struct SRCNNContext {
 #define OFFSET(x) offsetof(SRCNNContext, x)
 #define FLAGS AV_OPT_FLAG_FILTERING_PARAM | AV_OPT_FLAG_VIDEO_PARAM
 static const AVOption srcnn_options[] = {
+    { "dnn_backend", "DNN backend used for model execution", OFFSET(backend_type), AV_OPT_TYPE_FLAGS, { .i64 = 0 }, 0, 1, FLAGS, "backend" },
+    { "native", "native backend flag", 0, AV_OPT_TYPE_CONST, { .i64 = 0 }, 0, 0, FLAGS, "backend" },
+#if (CONFIG_LIBTENSORFLOW == 1)
+    { "tensorflow", "tensorflow backend flag", 0, AV_OPT_TYPE_CONST, { .i64 = 1 }, 0, 0, FLAGS, "backend" },
+#endif
     { "model_filename", "path to model file specifying network architecture and its parameters", OFFSET(model_filename), AV_OPT_TYPE_STRING, {.str=NULL}, 0, 0, FLAGS },
     { NULL }
 };
@@ -54,29 +60,20 @@ static av_cold int init(AVFilterContext* context)
 {
     SRCNNContext* srcnn_context = context->priv;
 
-    srcnn_context->dnn_module = ff_get_dnn_module(DNN_TF);
+    srcnn_context->dnn_module = ff_get_dnn_module(srcnn_context->backend_type);
     if (!srcnn_context->dnn_module){
-        srcnn_context->dnn_module = ff_get_dnn_module(DNN_NATIVE);
-        if (!srcnn_context->dnn_module){
-            av_log(context, AV_LOG_ERROR, "could not create dnn module\n");
-            return AVERROR(ENOMEM);
-        }
-        else{
-            av_log(context, AV_LOG_INFO, "using native backend for DNN inference\n");
-        }
-    }
-    else{
-        av_log(context, AV_LOG_INFO, "using tensorflow backend for DNN inference\n");
+        av_log(context, AV_LOG_ERROR, "could not create DNN module for requested backend\n");
+        return AVERROR(ENOMEM);
     }
     if (!srcnn_context->model_filename){
-        av_log(context, AV_LOG_INFO, "model file for network was not specified, using default network for x2 upsampling\n");
+        av_log(context, AV_LOG_VERBOSE, "model file for network was not specified, using default network for x2 upsampling\n");
         srcnn_context->model = (srcnn_context->dnn_module->load_default_model)(DNN_SRCNN);
     }
     else{
         srcnn_context->model = (srcnn_context->dnn_module->load_model)(srcnn_context->model_filename);
     }
     if (!srcnn_context->model){
-        av_log(context, AV_LOG_ERROR, "could not load dnn model\n");
+        av_log(context, AV_LOG_ERROR, "could not load DNN model\n");
         return AVERROR(EIO);
     }
 
-- 
2.14.1

From e223a00972ec8b29f557d7ae55d597238abe9004 Mon Sep 17 00:00:00 2001
From: Sergey Lavrushkin <dual...@gmail.com>
Date: Thu, 7 Jun 2018 18:22:22 +0300
Subject: [PATCH 2/2] libavfilter/dnn_interface.c: fix av_freep dnn_module.

---
 libavfilter/dnn_interface.c | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libavfilter/dnn_interface.c b/libavfilter/dnn_interface.c
index ce64fe58f3..87c90526be 100644
--- a/libavfilter/dnn_interface.c
+++ b/libavfilter/dnn_interface.c
@@ -51,7 +51,7 @@ DNNModule* ff_get_dnn_module(DNNBackendType backend_type)
         dnn_module->execute_model = &ff_dnn_execute_model_tf;
         dnn_module->free_model = &ff_dnn_free_model_tf;
     #else
-        av_freep(dnn_module);
+        av_freep(&dnn_module);
         return NULL;
     #endif
     }
-- 
2.14.1

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