您好! 我可以根据 网站 内容通过默认配置文件和数据集成功运行 DMAPAC 的立体视差应用。 ,我将该"ar差_max"值设置为2 μ s、则 会导致以下误差:
493157.467914 s: VX_ZONE_ERROR:[ownContextSendCmd:814] Command ack message returned failure cmd_status: -1 493157.467933 s: VX_ZONE_ERROR:[ownContextSendCmd:850] tivxEventWait() failed. 493157.467962 s: VX_ZONE_ERROR:[ownNodeKernelInit:538] Target kernel, TIVX_CMD_NODE_CREATE failed for node Stereo_Processing 493157.467981 s: VX_ZONE_ERROR:[ownNodeKernelInit:539] Please be sure the target callbacks have been registered for this core 493157.467999 s: VX_ZONE_ERROR:[ownNodeKernelInit:540] If the target callbacks have been registered, please ensure no errors are occurring within the create callback of this kernel 493157.468018 s: VX_ZONE_ERROR:[ownGraphNodeKernelInit:583] kernel init for node 0, kernel com.ti.hwa.dmpac_sde ... failed !!! 493157.468041 s: VX_ZONE_ERROR:[vxVerifyGraph:2055] Node kernel init failed 493157.468060 s: VX_ZONE_ERROR:[vxVerifyGraph:2109] Graph verify failed
"config/app.cfg "文件的内容如下:
# NOTE: You have to define the APP_STEREO_DATA_PATH environment variable,as location to stereo_test_data. # For example: # export APP_STEREO_DATA_PATH=<path-to-test-data>/test_data/psdkra/stereo_test_data/ # where,"<path-to-test-data>" refers to the parent directory to which you extracted 'psdk_rtos_ti_data_set_xx_xx_xx.tar.gz' # You can even add the above line to .bashrc # location of input image (*.bmp) files # input image path for left camera images is construced as ${APP_STEREO_DATA_PATH}/<left_img_file_path> # input image path for right camera images is construced as ${APP_STEREO_DATA_PATH}/<right_img_file_path> left_img_file_path Stereo0001/left right_img_file_path Stereo0001/right # location for output *.bmp files # output image path is construced as ${APP_STEREO_DATA_PATH}/<output_file_path> output_file_path Stereo0001/output # filename prefix, output file name is constructed as # <filename prefix>_disparity_ddddd.bmp, <filename prefix>_conf_ddddd.bmp # e.g. tisde_disparity_00000.bmp, tisde_conf_00000.bmp output_file_prefix out # first file number to pick as input start_seq 1 # last file number to pick as input end_seq 119 # input data width in pixels width 1280 # input data height in lines height 720 # confidence value for visualization <0 ~ 7> # the disparity whose confidence is < vis_confidence will be removed visualize_confidence 1 # <0 or 1>, disable/enable histogram output hist_output 0 # <0 or 1>, disable/enable .sde output sde_output 0 # enable display mode (set to 0 for PC) display_option 0 # number of iterations (This can be set to more than one to observe PC execution time, if desired) num_iterations 1 # enable interactive mode (set to 0 for PC) is_interactive 0 # SDE params # <0 or 1>, disable/enable post-processing 5x5 median filter median_filter_enable 1 # <0 or 1>, disable/enable reduced range search on pixels near right margin reduced_range_search_enable 0 # minimum disparity (0 -> 0 pixels, 1 -> -3 pixels) disparity_min 0 # maximum disparity (0 -> 63 pixels, 1 -> 127 pixels, 2 -> 191 pixels) disparity_max 2 # <0 - 255>, left-right consistency check threshold in pixels threshold_left_right 3 # <0 or 1>, disable/enable texture based filtering texture_filter_enable 0 # <0 - 255>, scaled threshold for texture based filtering threshold_texture 100 # <0 - 127>, Optimization penalty constant for smalle disparity change aggregation_penalty_p1 32 # <0 - 192>, Optimization penalty constant for large disparity change aggregation_penalty_p2 192 # <0 - 127> confidence_score_map[7] array configuation # To map the confidence values between 0 ~ 127 to 0 ~ 7, # We need to specifiy 7 values in the increasing order as follows: # confidence_score_map_0, confidence_score_map_1, ..., confidence_score_map_5, confidence_score_map_6. # # confidence values, c will be map to 0 ~ 7 as follows: # c <= confidence_score_map_0 -> 0 # confidence_score_map_0 < c <= confidence_score_map_1 -> 1 # confidence_score_map_1 < c <= confidence_score_map_2 -> 2 # confidence_score_map_2 < c <= confidence_score_map_3 -> 3 # confidence_score_map_3 < c <= confidence_score_map_4 -> 4 # confidence_score_map_4 < c <= confidence_score_map_5 -> 5 # confidence_score_map_5 < c <= confidence_score_map_6 -> 6 # confidence_score_map_6 < c -> 7 # User can specify confidence_score_map_0 ~ confidence_score_map_6 # Should make sure that # confidence_score_map_0 >= 0 # confidence_score_map_6 <= 127 confidence_score_map_0 0 confidence_score_map_1 1 confidence_score_map_2 2 confidence_score_map_3 3 confidence_score_map_4 5 confidence_score_map_5 9 confidence_score_map_6 14
期待您的回复! 谢谢!