# access output from deepstream **URL:** \ **Category:** DeepStream SDK\ **Created:** [June 13, 2019, 3:30pm UTC](https://forums.developer.nvidia.com/t/access-output-from-deepstream/76375 "2019-06-13T15:30:15Z")\ **Posts on this page:** 8\ **Page:** 1
**Author:** ![vadimd](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@vadimd](https://forums.developer.nvidia.com/u/vadimd)\ **Post date:** [June 13, 2019, 3:30pm UTC](https://forums.developer.nvidia.com/t/access-output-from-deepstream/76375/1 "2019-06-13T15:30:15Z")
Hi, I’m trying to run caffe model that gives out 4 tensors. I need the output tensor to calculate the prob. of detection. I’m trying to access the output tensors by float\* output\_data1 = static\_cast\(outputLayersInfo[0].buffer); float_ output\_data2 = static\_cast\(outputLayersInfo[1].buffer); float_ output\_data3 = static\_cast\(outputLayersInfo[2].buffer); float_ output\_data4 = static\_cast\(outputLayersInfo[3].buffer); but I see that the results are much different than the results I get by running same picture in caffe. 1. what can be the problem? 2.is this is the right way to access the output tensors? thanks ---
**Author:** ![AastaLLL](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/aastalll/32/14043_2.png) [@AastaLLL](https://forums.developer.nvidia.com/u/AastaLLL)\ **Post date:** [June 14, 2019, 7:33am UTC](https://forums.developer.nvidia.com/t/access-output-from-deepstream/76375/2 "2019-06-14T07:33:35Z")
Hi, **1.** Please check if all the parameter in the config file is updated first. You can file some information in our document: \>\> Application Customization **2.** You can check it in our source code here. {deepstream\_sdk\_on\_jetson}/sources Thanks. ---
**Author:** ![vadimd](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@vadimd](https://forums.developer.nvidia.com/u/vadimd)\ **Post date:** [June 16, 2019, 8:59am UTC](https://forums.developer.nvidia.com/t/access-output-from-deepstream/76375/3 "2019-06-16T08:59:06Z")
I have used the example and still the results are far from what I expect to get something that I noticed is when I change from BGR → RGB the output doesn’t change ---
**Author:** ![vadimd](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@vadimd](https://forums.developer.nvidia.com/u/vadimd)\ **Post date:** [June 16, 2019, 9:28am UTC](https://forums.developer.nvidia.com/t/access-output-from-deepstream/76375/4 "2019-06-16T09:28:33Z")
```auto [property] gpu-id=0 net-scale-factor=1 offsets=0;0;0;0 #0=RGB, 1=BGR model-color-format=1 model-engine-file=V6.1.0_face_det.caffemodel_b1_fp32.engine model-file=V6.1.0_face_det.caffemodel proto-file=V6.1.0_face_det.prototxt batch-size=1 ## 0=FP32, 1=INT8, 2=FP16 mode network-mode=0 num-detected-classes=21 interval=0 gie-unique-id=1 parse-func=0 is-classifier=0 output-blob-names=cls1;cls2;loc1;loc2 parse-bbox-func-name=NvDsInferParseCustomFasterRCNN custom-lib-path=nvdsinfer_custom_impl_fasterRCNN/libnvdsinfer_custom_impl_fasterRCNN.so [class-attrs-all] threshold=0.2 eps=0.1 group-threshold=2 roi-top-offset=0 roi-bottom-offset=0 detected-min-w=0 detected-min-h=0 detected-max-w=0 detected-max-h=0 ## Per class configuration # Prevent background detection [class-attrs-0] threshold=1.1 ``` ---
**Author:** ![vadimd](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@vadimd](https://forums.developer.nvidia.com/u/vadimd)\ **Post date:** [June 16, 2019, 9:29am UTC](https://forums.developer.nvidia.com/t/access-output-from-deepstream/76375/5 "2019-06-16T09:29:14Z")
```auto [application] enable-perf-measurement=1 perf-measurement-interval-sec=1 gie-kitti-output-dir=streamscl [tiled-display] enable=1 rows=1 columns=1 width=1920 height=1080 [source0] enable=1 #Type - 1=CameraV4L2 2=URI 3=MultiURI type=3 num-sources=1 uri=file://test10x2min_1.mp4 [streammux] batch-size=1 batched-push-timeout=-1 ## Set muxer output width and height width=1920 height=1080 [sink0] enable=1 #Type - 1=FakeSink 2=EglSink 3=File type=2 sync=1 source-id=0 [osd] enable=1 border-width=3 text-size=15 text-color=1;1;1;1; text-bg-color=0.3;0.3;0.3;1 font=Arial show-clock=0 clock-x-offset=800 clock-y-offset=820 clock-text-size=12 clock-color=1;0;0;0 [primary-gie] enable=1 batch-size=1 gie-unique-id=1 interval=0 labelfile-path=labels.txt model-engine-file=V6.1.0_face_det.caffemodel_b1_fp32.engine config-file=config_infer_primary_fasterRCNN.txt ``` ---
**Author:** ![vadimd](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@vadimd](https://forums.developer.nvidia.com/u/vadimd)\ **Post date:** [June 16, 2019, 9:55am UTC](https://forums.developer.nvidia.com/t/access-output-from-deepstream/76375/6 "2019-06-16T09:55:49Z")
how can I know if it even run my network? I use the deepstream-app with my costume plugin ---
**Author:** ![AastaLLL](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/aastalll/32/14043_2.png) [@AastaLLL](https://forums.developer.nvidia.com/u/AastaLLL)\ **Post date:** [June 18, 2019, 2:28am UTC](https://forums.developer.nvidia.com/t/access-output-from-deepstream/76375/7 "2019-06-18T02:28:17Z")
Hi, You can check the output log of deepstream. By the way, we have a plugin sample for fasterRCNN. You can check it for some information first. {deepstream\_sdk\_on\_jetson}/sources/objectDetector\_FasterRCNN Thanks. ---
**Author:** ![TomNVIDIA](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/tomnvidia/32/14181_2.png) [@TomNVIDIA](https://forums.developer.nvidia.com/u/TomNVIDIA)\ **Post date:** [October 12, 2021, 4:19pm UTC](https://forums.developer.nvidia.com/t/access-output-from-deepstream/76375/8 "2021-10-12T16:19:34Z")
Closed on October 12, 2021, 4:19pm UTC