2 * Copyright (c) 2018 Sergey Lavrushkin
4 * This file is part of FFmpeg.
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.
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.
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
23 * DNN tensorflow backend implementation.
26 #include "dnn_backend_tf.h"
27 #include "dnn_backend_native.h"
28 #include "dnn_backend_native_layer_conv2d.h"
29 #include "dnn_backend_native_layer_depth2space.h"
30 #include "libavformat/avio.h"
31 #include "libavutil/avassert.h"
32 #include "dnn_backend_native_layer_pad.h"
33 #include "dnn_backend_native_layer_maximum.h"
34 #include "dnn_io_proc.h"
36 #include <tensorflow/c/c_api.h>
38 typedef struct TFContext {
42 typedef struct TFModel{
50 static const AVClass dnn_tensorflow_class = {
51 .class_name = "dnn_tensorflow",
52 .item_name = av_default_item_name,
54 .version = LIBAVUTIL_VERSION_INT,
55 .category = AV_CLASS_CATEGORY_FILTER,
58 static DNNReturnType execute_model_tf(const DNNModel *model, const char *input_name, AVFrame *in_frame,
59 const char **output_names, uint32_t nb_output, AVFrame *out_frame,
62 static void free_buffer(void *data, size_t length)
67 static TF_Buffer *read_graph(const char *model_filename)
70 unsigned char *graph_data = NULL;
71 AVIOContext *model_file_context;
72 long size, bytes_read;
74 if (avio_open(&model_file_context, model_filename, AVIO_FLAG_READ) < 0){
78 size = avio_size(model_file_context);
80 graph_data = av_malloc(size);
82 avio_closep(&model_file_context);
85 bytes_read = avio_read(model_file_context, graph_data, size);
86 avio_closep(&model_file_context);
87 if (bytes_read != size){
88 av_freep(&graph_data);
92 graph_buf = TF_NewBuffer();
93 graph_buf->data = (void *)graph_data;
94 graph_buf->length = size;
95 graph_buf->data_deallocator = free_buffer;
100 static TF_Tensor *allocate_input_tensor(const DNNData *input)
104 int64_t input_dims[] = {1, input->height, input->width, input->channels};
108 size = sizeof(float);
115 av_assert0(!"should not reach here");
118 return TF_AllocateTensor(dt, input_dims, 4,
119 input_dims[1] * input_dims[2] * input_dims[3] * size);
122 static DNNReturnType get_input_tf(void *model, DNNData *input, const char *input_name)
124 TFModel *tf_model = (TFModel *)model;
125 TFContext *ctx = &tf_model->ctx;
130 tf_output.oper = TF_GraphOperationByName(tf_model->graph, input_name);
131 if (!tf_output.oper) {
132 av_log(ctx, AV_LOG_ERROR, "Could not find \"%s\" in model\n", input_name);
137 input->dt = TF_OperationOutputType(tf_output);
139 status = TF_NewStatus();
140 TF_GraphGetTensorShape(tf_model->graph, tf_output, dims, 4, status);
141 if (TF_GetCode(status) != TF_OK){
142 TF_DeleteStatus(status);
143 av_log(ctx, AV_LOG_ERROR, "Failed to get input tensor shape: number of dimension incorrect\n");
146 TF_DeleteStatus(status);
148 // currently only NHWC is supported
149 av_assert0(dims[0] == 1);
150 input->height = dims[1];
151 input->width = dims[2];
152 input->channels = dims[3];
157 static DNNReturnType get_output_tf(void *model, const char *input_name, int input_width, int input_height,
158 const char *output_name, int *output_width, int *output_height)
161 TFModel *tf_model = (TFModel *)model;
162 AVFrame *in_frame = av_frame_alloc();
163 AVFrame *out_frame = av_frame_alloc();
164 in_frame->width = input_width;
165 in_frame->height = input_height;
167 ret = execute_model_tf(tf_model->model, input_name, in_frame, &output_name, 1, out_frame, 0);
168 *output_width = out_frame->width;
169 *output_height = out_frame->height;
171 av_frame_free(&out_frame);
172 av_frame_free(&in_frame);
176 static DNNReturnType load_tf_model(TFModel *tf_model, const char *model_filename)
178 TFContext *ctx = &tf_model->ctx;
179 TF_Buffer *graph_def;
180 TF_ImportGraphDefOptions *graph_opts;
181 TF_SessionOptions *sess_opts;
182 const TF_Operation *init_op;
184 graph_def = read_graph(model_filename);
186 av_log(ctx, AV_LOG_ERROR, "Failed to read model \"%s\" graph\n", model_filename);
189 tf_model->graph = TF_NewGraph();
190 tf_model->status = TF_NewStatus();
191 graph_opts = TF_NewImportGraphDefOptions();
192 TF_GraphImportGraphDef(tf_model->graph, graph_def, graph_opts, tf_model->status);
193 TF_DeleteImportGraphDefOptions(graph_opts);
194 TF_DeleteBuffer(graph_def);
195 if (TF_GetCode(tf_model->status) != TF_OK){
196 TF_DeleteGraph(tf_model->graph);
197 TF_DeleteStatus(tf_model->status);
198 av_log(ctx, AV_LOG_ERROR, "Failed to import serialized graph to model graph\n");
202 init_op = TF_GraphOperationByName(tf_model->graph, "init");
203 sess_opts = TF_NewSessionOptions();
204 tf_model->session = TF_NewSession(tf_model->graph, sess_opts, tf_model->status);
205 TF_DeleteSessionOptions(sess_opts);
206 if (TF_GetCode(tf_model->status) != TF_OK)
208 av_log(ctx, AV_LOG_ERROR, "Failed to create new session with model graph\n");
212 // Run initialization operation with name "init" if it is present in graph
214 TF_SessionRun(tf_model->session, NULL,
217 &init_op, 1, NULL, tf_model->status);
218 if (TF_GetCode(tf_model->status) != TF_OK)
220 av_log(ctx, AV_LOG_ERROR, "Failed to run session when initializing\n");
228 #define NAME_BUFFER_SIZE 256
230 static DNNReturnType add_conv_layer(TFModel *tf_model, TF_Operation *transpose_op, TF_Operation **cur_op,
231 ConvolutionalParams* params, const int layer)
233 TFContext *ctx = &tf_model->ctx;
235 TF_OperationDescription *op_desc;
237 int64_t strides[] = {1, 1, 1, 1};
241 char name_buffer[NAME_BUFFER_SIZE];
244 size = params->input_num * params->output_num * params->kernel_size * params->kernel_size;
247 snprintf(name_buffer, NAME_BUFFER_SIZE, "conv_kernel%d", layer);
248 op_desc = TF_NewOperation(tf_model->graph, "Const", name_buffer);
249 TF_SetAttrType(op_desc, "dtype", TF_FLOAT);
250 dims[0] = params->output_num;
251 dims[1] = params->kernel_size;
252 dims[2] = params->kernel_size;
253 dims[3] = params->input_num;
255 tensor = TF_AllocateTensor(TF_FLOAT, dims, dims_len, size * sizeof(float));
256 memcpy(TF_TensorData(tensor), params->kernel, size * sizeof(float));
257 TF_SetAttrTensor(op_desc, "value", tensor, tf_model->status);
258 if (TF_GetCode(tf_model->status) != TF_OK){
259 av_log(ctx, AV_LOG_ERROR, "Failed to set value for kernel of conv layer %d\n", layer);
262 op = TF_FinishOperation(op_desc, tf_model->status);
263 if (TF_GetCode(tf_model->status) != TF_OK){
264 av_log(ctx, AV_LOG_ERROR, "Failed to add kernel to conv layer %d\n", layer);
268 snprintf(name_buffer, NAME_BUFFER_SIZE, "transpose%d", layer);
269 op_desc = TF_NewOperation(tf_model->graph, "Transpose", name_buffer);
271 TF_AddInput(op_desc, input);
272 input.oper = transpose_op;
273 TF_AddInput(op_desc, input);
274 TF_SetAttrType(op_desc, "T", TF_FLOAT);
275 TF_SetAttrType(op_desc, "Tperm", TF_INT32);
276 op = TF_FinishOperation(op_desc, tf_model->status);
277 if (TF_GetCode(tf_model->status) != TF_OK){
278 av_log(ctx, AV_LOG_ERROR, "Failed to add transpose to conv layer %d\n", layer);
282 snprintf(name_buffer, NAME_BUFFER_SIZE, "conv2d%d", layer);
283 op_desc = TF_NewOperation(tf_model->graph, "Conv2D", name_buffer);
284 input.oper = *cur_op;
285 TF_AddInput(op_desc, input);
287 TF_AddInput(op_desc, input);
288 TF_SetAttrType(op_desc, "T", TF_FLOAT);
289 TF_SetAttrIntList(op_desc, "strides", strides, 4);
290 TF_SetAttrString(op_desc, "padding", "VALID", 5);
291 *cur_op = TF_FinishOperation(op_desc, tf_model->status);
292 if (TF_GetCode(tf_model->status) != TF_OK){
293 av_log(ctx, AV_LOG_ERROR, "Failed to add conv2d to conv layer %d\n", layer);
297 snprintf(name_buffer, NAME_BUFFER_SIZE, "conv_biases%d", layer);
298 op_desc = TF_NewOperation(tf_model->graph, "Const", name_buffer);
299 TF_SetAttrType(op_desc, "dtype", TF_FLOAT);
300 dims[0] = params->output_num;
302 tensor = TF_AllocateTensor(TF_FLOAT, dims, dims_len, params->output_num * sizeof(float));
303 memcpy(TF_TensorData(tensor), params->biases, params->output_num * sizeof(float));
304 TF_SetAttrTensor(op_desc, "value", tensor, tf_model->status);
305 if (TF_GetCode(tf_model->status) != TF_OK){
306 av_log(ctx, AV_LOG_ERROR, "Failed to set value for conv_biases of conv layer %d\n", layer);
309 op = TF_FinishOperation(op_desc, tf_model->status);
310 if (TF_GetCode(tf_model->status) != TF_OK){
311 av_log(ctx, AV_LOG_ERROR, "Failed to add conv_biases to conv layer %d\n", layer);
315 snprintf(name_buffer, NAME_BUFFER_SIZE, "bias_add%d", layer);
316 op_desc = TF_NewOperation(tf_model->graph, "BiasAdd", name_buffer);
317 input.oper = *cur_op;
318 TF_AddInput(op_desc, input);
320 TF_AddInput(op_desc, input);
321 TF_SetAttrType(op_desc, "T", TF_FLOAT);
322 *cur_op = TF_FinishOperation(op_desc, tf_model->status);
323 if (TF_GetCode(tf_model->status) != TF_OK){
324 av_log(ctx, AV_LOG_ERROR, "Failed to add bias_add to conv layer %d\n", layer);
328 snprintf(name_buffer, NAME_BUFFER_SIZE, "activation%d", layer);
329 switch (params->activation){
331 op_desc = TF_NewOperation(tf_model->graph, "Relu", name_buffer);
334 op_desc = TF_NewOperation(tf_model->graph, "Tanh", name_buffer);
337 op_desc = TF_NewOperation(tf_model->graph, "Sigmoid", name_buffer);
340 av_log(ctx, AV_LOG_ERROR, "Unsupported convolutional activation function\n");
343 input.oper = *cur_op;
344 TF_AddInput(op_desc, input);
345 TF_SetAttrType(op_desc, "T", TF_FLOAT);
346 *cur_op = TF_FinishOperation(op_desc, tf_model->status);
347 if (TF_GetCode(tf_model->status) != TF_OK){
348 av_log(ctx, AV_LOG_ERROR, "Failed to add activation function to conv layer %d\n", layer);
355 static DNNReturnType add_depth_to_space_layer(TFModel *tf_model, TF_Operation **cur_op,
356 DepthToSpaceParams *params, const int layer)
358 TFContext *ctx = &tf_model->ctx;
359 TF_OperationDescription *op_desc;
361 char name_buffer[NAME_BUFFER_SIZE];
363 snprintf(name_buffer, NAME_BUFFER_SIZE, "depth_to_space%d", layer);
364 op_desc = TF_NewOperation(tf_model->graph, "DepthToSpace", name_buffer);
365 input.oper = *cur_op;
367 TF_AddInput(op_desc, input);
368 TF_SetAttrType(op_desc, "T", TF_FLOAT);
369 TF_SetAttrInt(op_desc, "block_size", params->block_size);
370 *cur_op = TF_FinishOperation(op_desc, tf_model->status);
371 if (TF_GetCode(tf_model->status) != TF_OK){
372 av_log(ctx, AV_LOG_ERROR, "Failed to add depth_to_space to layer %d\n", layer);
379 static DNNReturnType add_pad_layer(TFModel *tf_model, TF_Operation **cur_op,
380 LayerPadParams *params, const int layer)
382 TFContext *ctx = &tf_model->ctx;
385 TF_OperationDescription *op_desc;
388 int64_t pads_shape[] = {4, 2};
390 char name_buffer[NAME_BUFFER_SIZE];
391 snprintf(name_buffer, NAME_BUFFER_SIZE, "pad%d", layer);
393 op_desc = TF_NewOperation(tf_model->graph, "Const", name_buffer);
394 TF_SetAttrType(op_desc, "dtype", TF_INT32);
395 tensor = TF_AllocateTensor(TF_INT32, pads_shape, 2, 4 * 2 * sizeof(int32_t));
396 pads = (int32_t *)TF_TensorData(tensor);
397 pads[0] = params->paddings[0][0];
398 pads[1] = params->paddings[0][1];
399 pads[2] = params->paddings[1][0];
400 pads[3] = params->paddings[1][1];
401 pads[4] = params->paddings[2][0];
402 pads[5] = params->paddings[2][1];
403 pads[6] = params->paddings[3][0];
404 pads[7] = params->paddings[3][1];
405 TF_SetAttrTensor(op_desc, "value", tensor, tf_model->status);
406 if (TF_GetCode(tf_model->status) != TF_OK){
407 av_log(ctx, AV_LOG_ERROR, "Failed to set value for pad of layer %d\n", layer);
410 op = TF_FinishOperation(op_desc, tf_model->status);
411 if (TF_GetCode(tf_model->status) != TF_OK){
412 av_log(ctx, AV_LOG_ERROR, "Failed to add pad to layer %d\n", layer);
416 op_desc = TF_NewOperation(tf_model->graph, "MirrorPad", "mirror_pad");
417 input.oper = *cur_op;
419 TF_AddInput(op_desc, input);
421 TF_AddInput(op_desc, input);
422 TF_SetAttrType(op_desc, "T", TF_FLOAT);
423 TF_SetAttrType(op_desc, "Tpaddings", TF_INT32);
424 TF_SetAttrString(op_desc, "mode", "SYMMETRIC", 9);
425 *cur_op = TF_FinishOperation(op_desc, tf_model->status);
426 if (TF_GetCode(tf_model->status) != TF_OK){
427 av_log(ctx, AV_LOG_ERROR, "Failed to add mirror_pad to layer %d\n", layer);
434 static DNNReturnType add_maximum_layer(TFModel *tf_model, TF_Operation **cur_op,
435 DnnLayerMaximumParams *params, const int layer)
437 TFContext *ctx = &tf_model->ctx;
440 TF_OperationDescription *op_desc;
444 char name_buffer[NAME_BUFFER_SIZE];
445 snprintf(name_buffer, NAME_BUFFER_SIZE, "maximum/y%d", layer);
447 op_desc = TF_NewOperation(tf_model->graph, "Const", name_buffer);
448 TF_SetAttrType(op_desc, "dtype", TF_FLOAT);
449 tensor = TF_AllocateTensor(TF_FLOAT, NULL, 0, TF_DataTypeSize(TF_FLOAT));
450 y = (float *)TF_TensorData(tensor);
452 TF_SetAttrTensor(op_desc, "value", tensor, tf_model->status);
453 if (TF_GetCode(tf_model->status) != TF_OK){
454 av_log(ctx, AV_LOG_ERROR, "Failed to set value for maximum/y of layer %d", layer);
457 op = TF_FinishOperation(op_desc, tf_model->status);
458 if (TF_GetCode(tf_model->status) != TF_OK){
459 av_log(ctx, AV_LOG_ERROR, "Failed to add maximum/y to layer %d\n", layer);
463 snprintf(name_buffer, NAME_BUFFER_SIZE, "maximum%d", layer);
464 op_desc = TF_NewOperation(tf_model->graph, "Maximum", name_buffer);
465 input.oper = *cur_op;
467 TF_AddInput(op_desc, input);
469 TF_AddInput(op_desc, input);
470 TF_SetAttrType(op_desc, "T", TF_FLOAT);
471 *cur_op = TF_FinishOperation(op_desc, tf_model->status);
472 if (TF_GetCode(tf_model->status) != TF_OK){
473 av_log(ctx, AV_LOG_ERROR, "Failed to add maximum to layer %d\n", layer);
480 static DNNReturnType load_native_model(TFModel *tf_model, const char *model_filename)
482 TFContext *ctx = &tf_model->ctx;
484 TF_OperationDescription *op_desc;
486 TF_Operation *transpose_op;
489 int32_t *transpose_perm;
490 int64_t transpose_perm_shape[] = {4};
491 int64_t input_shape[] = {1, -1, -1, -1};
492 DNNReturnType layer_add_res;
493 DNNModel *model = NULL;
494 NativeModel *native_model;
496 model = ff_dnn_load_model_native(model_filename, NULL, NULL);
498 av_log(ctx, AV_LOG_ERROR, "Failed to load native model\n");
502 native_model = (NativeModel *)model->model;
503 tf_model->graph = TF_NewGraph();
504 tf_model->status = TF_NewStatus();
506 #define CLEANUP_ON_ERROR(tf_model) \
508 TF_DeleteGraph(tf_model->graph); \
509 TF_DeleteStatus(tf_model->status); \
510 av_log(ctx, AV_LOG_ERROR, "Failed to set value or add operator to layer\n"); \
514 op_desc = TF_NewOperation(tf_model->graph, "Placeholder", "x");
515 TF_SetAttrType(op_desc, "dtype", TF_FLOAT);
516 TF_SetAttrShape(op_desc, "shape", input_shape, 4);
517 op = TF_FinishOperation(op_desc, tf_model->status);
518 if (TF_GetCode(tf_model->status) != TF_OK){
519 CLEANUP_ON_ERROR(tf_model);
522 op_desc = TF_NewOperation(tf_model->graph, "Const", "transpose_perm");
523 TF_SetAttrType(op_desc, "dtype", TF_INT32);
524 tensor = TF_AllocateTensor(TF_INT32, transpose_perm_shape, 1, 4 * sizeof(int32_t));
525 transpose_perm = (int32_t *)TF_TensorData(tensor);
526 transpose_perm[0] = 1;
527 transpose_perm[1] = 2;
528 transpose_perm[2] = 3;
529 transpose_perm[3] = 0;
530 TF_SetAttrTensor(op_desc, "value", tensor, tf_model->status);
531 if (TF_GetCode(tf_model->status) != TF_OK){
532 CLEANUP_ON_ERROR(tf_model);
534 transpose_op = TF_FinishOperation(op_desc, tf_model->status);
536 for (layer = 0; layer < native_model->layers_num; ++layer){
537 switch (native_model->layers[layer].type){
539 layer_add_res = DNN_SUCCESS;
542 layer_add_res = add_conv_layer(tf_model, transpose_op, &op,
543 (ConvolutionalParams *)native_model->layers[layer].params, layer);
545 case DLT_DEPTH_TO_SPACE:
546 layer_add_res = add_depth_to_space_layer(tf_model, &op,
547 (DepthToSpaceParams *)native_model->layers[layer].params, layer);
550 layer_add_res = add_pad_layer(tf_model, &op,
551 (LayerPadParams *)native_model->layers[layer].params, layer);
554 layer_add_res = add_maximum_layer(tf_model, &op,
555 (DnnLayerMaximumParams *)native_model->layers[layer].params, layer);
558 CLEANUP_ON_ERROR(tf_model);
561 if (layer_add_res != DNN_SUCCESS){
562 CLEANUP_ON_ERROR(tf_model);
566 op_desc = TF_NewOperation(tf_model->graph, "Identity", "y");
569 TF_AddInput(op_desc, input);
570 TF_FinishOperation(op_desc, tf_model->status);
571 if (TF_GetCode(tf_model->status) != TF_OK){
572 CLEANUP_ON_ERROR(tf_model);
575 ff_dnn_free_model_native(&model);
580 DNNModel *ff_dnn_load_model_tf(const char *model_filename, const char *options, void *userdata)
582 DNNModel *model = NULL;
583 TFModel *tf_model = NULL;
585 model = av_mallocz(sizeof(DNNModel));
590 tf_model = av_mallocz(sizeof(TFModel));
595 tf_model->ctx.class = &dnn_tensorflow_class;
596 tf_model->model = model;
598 if (load_tf_model(tf_model, model_filename) != DNN_SUCCESS){
599 if (load_native_model(tf_model, model_filename) != DNN_SUCCESS){
607 model->model = (void *)tf_model;
608 model->get_input = &get_input_tf;
609 model->get_output = &get_output_tf;
610 model->options = options;
611 model->userdata = userdata;
616 static DNNReturnType execute_model_tf(const DNNModel *model, const char *input_name, AVFrame *in_frame,
617 const char **output_names, uint32_t nb_output, AVFrame *out_frame,
620 TF_Output *tf_outputs;
621 TFModel *tf_model = (TFModel *)model->model;
622 TFContext *ctx = &tf_model->ctx;
623 DNNData input, output;
624 TF_Tensor **output_tensors;
626 TF_Tensor *input_tensor;
628 if (get_input_tf(tf_model, &input, input_name) != DNN_SUCCESS)
630 input.height = in_frame->height;
631 input.width = in_frame->width;
633 tf_input.oper = TF_GraphOperationByName(tf_model->graph, input_name);
635 av_log(ctx, AV_LOG_ERROR, "Could not find \"%s\" in model\n", input_name);
639 input_tensor = allocate_input_tensor(&input);
641 av_log(ctx, AV_LOG_ERROR, "Failed to allocate memory for input tensor\n");
644 input.data = (float *)TF_TensorData(input_tensor);
647 if (tf_model->model->pre_proc != NULL) {
648 tf_model->model->pre_proc(in_frame, &input, tf_model->model->userdata);
650 proc_from_frame_to_dnn(in_frame, &input, ctx);
654 if (nb_output != 1) {
655 // currently, the filter does not need multiple outputs,
656 // so we just pending the support until we really need it.
657 av_log(ctx, AV_LOG_ERROR, "do not support multiple outputs\n");
661 tf_outputs = av_malloc_array(nb_output, sizeof(*tf_outputs));
662 if (tf_outputs == NULL) {
663 av_log(ctx, AV_LOG_ERROR, "Failed to allocate memory for *tf_outputs\n"); \
667 output_tensors = av_mallocz_array(nb_output, sizeof(*output_tensors));
668 if (!output_tensors) {
669 av_freep(&tf_outputs);
670 av_log(ctx, AV_LOG_ERROR, "Failed to allocate memory for output tensor\n"); \
674 for (int i = 0; i < nb_output; ++i) {
675 tf_outputs[i].oper = TF_GraphOperationByName(tf_model->graph, output_names[i]);
676 if (!tf_outputs[i].oper) {
677 av_freep(&tf_outputs);
678 av_freep(&output_tensors);
679 av_log(ctx, AV_LOG_ERROR, "Could not find output \"%s\" in model\n", output_names[i]); \
682 tf_outputs[i].index = 0;
685 TF_SessionRun(tf_model->session, NULL,
686 &tf_input, &input_tensor, 1,
687 tf_outputs, output_tensors, nb_output,
688 NULL, 0, NULL, tf_model->status);
689 if (TF_GetCode(tf_model->status) != TF_OK) {
690 av_freep(&tf_outputs);
691 av_freep(&output_tensors);
692 av_log(ctx, AV_LOG_ERROR, "Failed to run session when executing model\n");
696 for (uint32_t i = 0; i < nb_output; ++i) {
697 output.height = TF_Dim(output_tensors[i], 1);
698 output.width = TF_Dim(output_tensors[i], 2);
699 output.channels = TF_Dim(output_tensors[i], 3);
700 output.data = TF_TensorData(output_tensors[i]);
701 output.dt = TF_TensorType(output_tensors[i]);
704 if (tf_model->model->post_proc != NULL) {
705 tf_model->model->post_proc(out_frame, &output, tf_model->model->userdata);
707 proc_from_dnn_to_frame(out_frame, &output, ctx);
710 out_frame->width = output.width;
711 out_frame->height = output.height;
715 for (uint32_t i = 0; i < nb_output; ++i) {
716 if (output_tensors[i]) {
717 TF_DeleteTensor(output_tensors[i]);
720 TF_DeleteTensor(input_tensor);
721 av_freep(&output_tensors);
722 av_freep(&tf_outputs);
726 DNNReturnType ff_dnn_execute_model_tf(const DNNModel *model, const char *input_name, AVFrame *in_frame,
727 const char **output_names, uint32_t nb_output, AVFrame *out_frame)
729 TFModel *tf_model = (TFModel *)model->model;
730 TFContext *ctx = &tf_model->ctx;
733 av_log(ctx, AV_LOG_ERROR, "in frame is NULL when execute model.\n");
738 av_log(ctx, AV_LOG_ERROR, "out frame is NULL when execute model.\n");
742 return execute_model_tf(model, input_name, in_frame, output_names, nb_output, out_frame, 1);
745 void ff_dnn_free_model_tf(DNNModel **model)
750 tf_model = (TFModel *)(*model)->model;
751 if (tf_model->graph){
752 TF_DeleteGraph(tf_model->graph);
754 if (tf_model->session){
755 TF_CloseSession(tf_model->session, tf_model->status);
756 TF_DeleteSession(tf_model->session, tf_model->status);
758 if (tf_model->status){
759 TF_DeleteStatus(tf_model->status);