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dusty-nv / jetson-inference

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
https://developer.nvidia.com/embedded/twodaystoademo
MIT License
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detectnet.cpp and imagenet.cpp example scripts does not output image #728

Closed Shane555 closed 4 years ago

Shane555 commented 4 years ago

Hello i tried running ./detectnet --network=ssd-mobilenet-v2 images/peds_0.jpg output.jpg and the window output seems to pop up briefly and closes. I cannot save the image file to output. The same thing is happening for ./imagenet images/orange_0.jpg images/test/output_0.jpg . Do you know what is going on? This is my log for ./detectnet

imageLoader video options:

-- URI: file:///usr/local/jetson-inference/build/aarch64/bin/images/peds_0.jpg

detectNet -- loading detection network model from: -- model networks/SSD-Mobilenet-v2/ssd_mobilenet_v2_coco.uff -- input_blob 'Input' -- output_blob 'NMS' -- output_count 'NMS_1' -- class_labels networks/SSD-Mobilenet-v2/ssd_coco_labels.txt -- threshold 0.500000 -- batch_size 1

[TRT] TensorRT version 6.0.1 [TRT] loading NVIDIA plugins... [TRT] Plugin Creator registration succeeded - GridAnchor_TRT [TRT] Plugin Creator registration succeeded - GridAnchorRect_TRT [TRT] Plugin Creator registration succeeded - NMS_TRT [TRT] Plugin Creator registration succeeded - Reorg_TRT [TRT] Plugin Creator registration succeeded - Region_TRT [TRT] Plugin Creator registration succeeded - Clip_TRT [TRT] Plugin Creator registration succeeded - LReLU_TRT [TRT] Plugin Creator registration succeeded - PriorBox_TRT [TRT] Plugin Creator registration succeeded - Normalize_TRT [TRT] Plugin Creator registration succeeded - RPROI_TRT [TRT] Plugin Creator registration succeeded - BatchedNMS_TRT [TRT] Could not register plugin creator: FlattenConcat_TRT in namespace: [TRT] detected model format - UFF (extension '.uff') [TRT] desired precision specified for GPU: FASTEST [TRT] requested fasted precision for device GPU without providing valid calibrator, disabling INT8 [TRT] native precisions detected for GPU: FP32, FP16 [TRT] selecting fastest native precision for GPU: FP16 [TRT] attempting to open engine cache file networks/SSD-Mobilenet-v2/ssd_mobilenet_v2_coco.uff.1.1.6001.GPU.FP16.engine [TRT] loading network plan from engine cache... networks/SSD-Mobilenet-v2/ssd_mobilenet_v2_coco.uff.1.1.6001.GPU.FP16.engine [TRT] device GPU, loaded networks/SSD-Mobilenet-v2/ssd_mobilenet_v2_coco.uff [TRT] Deserialize required 4540013 microseconds. [TRT]
[TRT] CUDA engine context initialized on device GPU: [TRT] -- layers 117 [TRT] -- maxBatchSize 1 [TRT] -- workspace 0 [TRT] -- deviceMemory 13220352 [TRT] -- bindings 3 [TRT] binding 0 -- index 0 -- name 'Input' -- type FP32 -- in/out INPUT -- # dims 3 -- dim #0 3 (SPATIAL) -- dim #1 300 (SPATIAL) -- dim #2 300 (SPATIAL) [TRT] binding 1 -- index 1 -- name 'NMS' -- type FP32 -- in/out OUTPUT -- # dims 3 -- dim #0 1 (SPATIAL) -- dim #1 100 (SPATIAL) -- dim #2 7 (SPATIAL) [TRT] binding 2 -- index 2 -- name 'NMS_1' -- type FP32 -- in/out OUTPUT -- # dims 3 -- dim #0 1 (SPATIAL) -- dim #1 1 (SPATIAL) -- dim #2 1 (SPATIAL) [TRT]
[TRT] binding to input 0 Input binding index: 0 [TRT] binding to input 0 Input dims (b=1 c=3 h=300 w=300) size=1080000 [TRT] binding to output 0 NMS binding index: 1 [TRT] binding to output 0 NMS dims (b=1 c=1 h=100 w=7) size=2800 [TRT] binding to output 1 NMS_1 binding index: 2 [TRT] binding to output 1 NMS_1 dims (b=1 c=1 h=1 w=1) size=4 [TRT]
[TRT] device GPU, networks/SSD-Mobilenet-v2/ssd_mobilenet_v2_coco.uff initialized. [TRT] W = 7 H = 100 C = 1 [TRT] detectNet -- maximum bounding boxes: 100 [TRT] detectNet -- loaded 91 class info entries [TRT] detectNet -- number of object classes: 91 [image] loaded 'images/peds_0.jpg' (1920x1080, 3 channels) 4 objects detected detected obj 0 class #1 (person) confidence=0.984155 bounding box 0 (1073.998291, 108.557114) (1396.668335, 1003.399353) w=322.670044 h=894.842224 detected obj 1 class #1 (person) confidence=0.698432 bounding box 1 (458.731140, 122.974380) (741.712280, 943.486572) w=282.981140 h=820.512207 detected obj 2 class #1 (person) confidence=0.975577 bounding box 2 (741.996948, 160.915314) (1023.324951, 941.105957) w=281.328003 h=780.190674 detected obj 3 class #1 (person) confidence=0.863161 bounding box 3 (1478.159302, 149.118286) (1720.584351, 915.414917) w=242.425049 h=766.296631 [OpenGL] creating 1920x1080 texture (GL_RGB8 format, 6220800 bytes) [cuda] registered openGL texture for interop access (1920x1080, GL_RGB8, 6220800 bytes) [image] failed to save 1920x1080 image to 'output.jpg' [image] imageWriter -- failed to save 'output.jpg'

[TRT] ------------------------------------------------ [TRT] Timing Report networks/SSD-Mobilenet-v2/ssd_mobilenet_v2_coco.uff [TRT] ------------------------------------------------ [TRT] Pre-Process CPU 0.13369ms CUDA 0.78243ms [TRT] Network CPU 35.72004ms CUDA 34.84893ms [TRT] Post-Process CPU 0.25775ms CUDA 0.25728ms [TRT] Visualize CPU 36.25151ms CUDA 36.87494ms [TRT] Total CPU 72.36300ms CUDA 72.76358ms [TRT] ------------------------------------------------

[TRT] note -- when processing a single image, run 'sudo jetson_clocks' before to disable DVFS for more accurate profiling/timing measurements

[image] imageLoader -- End of Stream (EOS) has been reached, stream has been closed detectnet: shutting down... detectnet: shutdown complete.

Shane555 commented 4 years ago

Turns out it has something to do with having to use sudo due to root priviliges i think, because i saved it in /usr/local.

tonylau2010 commented 2 years ago

Turns out it has something to do with having to use sudo due to root priviliges i think, because i saved it in /usr/local.

@Shane555 Hello! Does it work？？

tonylau2010 commented 2 years ago

Thanks,it works!