# VIC Configuration failed image scale factor exceeds 16, use GPU for Transformation **URL:** \ **Category:** DeepStream SDK\ **Created:** [April 10, 2022, 7:34am UTC](https://forums.developer.nvidia.com/t/vic-configuration-failed-image-scale-factor-exceeds-16-use-gpu-for-transformation/210748 "2022-04-10T07:34:16Z")\ **Posts on this page:** 5\ **Page:** 1
**Author:** ![406769249](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@406769249](https://forums.developer.nvidia.com/u/406769249)\ **Post date:** [April 10, 2022, 7:34am UTC](https://forums.developer.nvidia.com/t/vic-configuration-failed-image-scale-factor-exceeds-16-use-gpu-for-transformation/210748/1 "2022-04-10T07:34:16Z")
Please provide complete information as applicable to your setup. **• Hardware Platform (Jetson / GPU)** Jetson **• DeepStream Version** 6.0 **• JetPack Version (valid for Jetson only)** 4.6 **• TensorRT Version** 8.0.1.6 I am running the deepstream Python application to LPR.But I got some problems and i realy need your help! This is my log: ```auto Creating Pipeline Creating nvstreammux Creating source bin source-bin-00 Creating Source Creating flvdemux Creating H264Parser Creating nvv4l2decoder Decoder Playing file rtmp://47.113.106.45/live/mult1 Creating Sink Adding elements to Pipeline Creating nvdsosd Creating yolo_pgie Creating lpr_pgie and lpr_sgie1 and lpr_sgie2 Warning: 'input-dims' parameter has been deprecated. Use 'infer-dims' instead. (python:22824): GStreamer-WARNING **: 15:23:01.306: Name 'Stream-muxer' is not unique in bin 'pipeline0', not adding Linking elements only LRP Starting pipeline Opening in BLOCKING MODE WARNING: [TRT]: Using an engine plan file across different models of devices is not recommended and is likely to affect performance or even cause errors. 0:00:18.727436753 22824 0x55c23c3ef0 INFO nvinfer gstnvinfer.cpp:638:gst_nvinfer_logger: NvDsInferContext[UID 6]: Info from NvDsInferContextImpl::deserializeEngineAndBackend() [UID = 6]: deserialized trt engine from :/home/nephilim/5gai/identify/deepstream_deploy/weights/lp/ch_lprnet_baseline18_deployable.etlt_b16_gpu0_fp16.engine INFO: [FullDims Engine Info]: layers num: 3 0 INPUT kFLOAT image_input 3x48x96 min: 1x3x48x96 opt: 16x3x48x96 Max: 16x3x48x96 1 OUTPUT kINT32 tf_op_layer_ArgMax 24 min: 0 opt: 0 Max: 0 2 OUTPUT kFLOAT tf_op_layer_Max 24 min: 0 opt: 0 Max: 0 ERROR: [TRT]: 3: Cannot find binding of given name: output_bbox/BiasAdd 0:00:18.727706258 22824 0x55c23c3ef0 WARN nvinfer gstnvinfer.cpp:635:gst_nvinfer_logger: NvDsInferContext[UID 6]: Warning from NvDsInferContextImpl::checkBackendParams() [UID = 6]: Could not find output layer 'output_bbox/BiasAdd' in engine ERROR: [TRT]: 3: Cannot find binding of given name: output_cov/Sigmoid 0:00:18.727807570 22824 0x55c23c3ef0 WARN nvinfer gstnvinfer.cpp:635:gst_nvinfer_logger: NvDsInferContext[UID 6]: Warning from NvDsInferContextImpl::checkBackendParams() [UID = 6]: Could not find output layer 'output_cov/Sigmoid' in engine 0:00:18.727871955 22824 0x55c23c3ef0 INFO nvinfer gstnvinfer.cpp:638:gst_nvinfer_logger: NvDsInferContext[UID 6]: Info from NvDsInferContextImpl::generateBackendContext() [UID = 6]: Use deserialized engine model: /home/nephilim/5gai/identify/deepstream_deploy/weights/lp/ch_lprnet_baseline18_deployable.etlt_b16_gpu0_fp16.engine 0:00:18.901146527 22824 0x55c23c3ef0 INFO nvinfer gstnvinfer_impl.cpp:313:notifyLoadModelStatus: [UID 6]: Load new model:/home/nephilim/5gai/identify/deepstream_deploy/cfg/lpr_config/lpr_config_sgie_ch.txt sucessfully WARNING: [TRT]: Using an engine plan file across different models of devices is not recommended and is likely to affect performance or even cause errors. 0:00:18.941394886 22824 0x55c23c3ef0 INFO nvinfer gstnvinfer.cpp:638:gst_nvinfer_logger: NvDsInferContext[UID 5]: Info from NvDsInferContextImpl::deserializeEngineAndBackend() [UID = 5]: deserialized trt engine from :/home/nephilim/5gai/identify/deepstream_deploy/weights/lp/ccpd_pruned.etlt_b16_gpu0_int8.engine INFO: [Implicit Engine Info]: layers num: 3 0 INPUT kFLOAT input_1 3x1168x720 1 OUTPUT kFLOAT output_bbox/BiasAdd 4x73x45 2 OUTPUT kFLOAT output_cov/Sigmoid 1x73x45 0:00:18.941600486 22824 0x55c23c3ef0 INFO nvinfer gstnvinfer.cpp:638:gst_nvinfer_logger: NvDsInferContext[UID 5]: Info from NvDsInferContextImpl::generateBackendContext() [UID = 5]: Use deserialized engine model: /home/nephilim/5gai/identify/deepstream_deploy/weights/lp/ccpd_pruned.etlt_b16_gpu0_int8.engine 0:00:19.041442243 22824 0x55c23c3ef0 INFO nvinfer gstnvinfer_impl.cpp:313:notifyLoadModelStatus: [UID 5]: Load new model:/home/nephilim/5gai/identify/deepstream_deploy/cfg/lpr_config/lpd_ccpd_config_yolocls.txt sucessfully WARNING: [TRT]: Using an engine plan file across different models of devices is not recommended and is likely to affect performance or even cause errors. Deserialize yoloLayer plugin: yolo_122 Deserialize yoloLayer plugin: yolo_125 Deserialize yoloLayer plugin: yolo_128 0:00:19.489571361 22824 0x55c23c3ef0 INFO nvinfer gstnvinfer.cpp:638:gst_nvinfer_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::deserializeEngineAndBackend() [UID = 1]: deserialized trt engine from :/home/nephilim/5gai/identify/deepstream_deploy/weights/det/yolov5m_b8.engine INFO: [Implicit Engine Info]: layers num: 4 0 INPUT kFLOAT data 3x640x640 1 OUTPUT kFLOAT yolo_122 255x80x80 2 OUTPUT kFLOAT yolo_125 255x40x40 3 OUTPUT kFLOAT yolo_128 255x20x20 0:00:19.489807426 22824 0x55c23c3ef0 INFO nvinfer gstnvinfer.cpp:638:gst_nvinfer_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::generateBackendContext() [UID = 1]: Use deserialized engine model: /home/nephilim/5gai/identify/deepstream_deploy/weights/det/yolov5m_b8.engine 0:00:19.589143869 22824 0x55c23c3ef0 INFO nvinfer gstnvinfer_impl.cpp:313:notifyLoadModelStatus: [UID 1]: Load new model:/home/nephilim/5gai/identify/deepstream_deploy/cfg/person_det_tracker_config/yolov5_config.txt sucessfully In flvdemux_pad_add NvMMLiteOpen : Block : BlockType = 261 NVMEDIA: Reading vendor.tegra.display-size : status: 6 NvMMLiteBlockCreate : Block : BlockType = 261 Framerate set to : 30 at NvxVideoEncoderSetParameterNvMMLiteOpen : Block : BlockType = 4 ===== NVMEDIA: NVENC ===== NvMMLiteBlockCreate : Block : BlockType = 4 In flvdemux_pad_add H264: Profile = 66, Level = 40 NVMEDIA_ENC: bBlitMode is set to TRUE /dvs/git/dirty/git-master_linux/nvutils/nvbufsurftransform/nvbufsurftransform.cpp:3752: => VIC Configuration failed image scale factor exceeds 16, use GPU for Transformation 0:01:08.022794232 22824 0x55c23b9320 WARN nvinfer gstnvinfer.cpp:1376:convert_batch_and_push_to_input_thread: error: NvBufSurfTransform failed with error -2 while converting buffer Error: gst-stream-error-quark: NvBufSurfTransform failed with error -2 while converting buffer (1): /dvs/git/dirty/git-master_linux/deepstream/sdk/src/gst-plugins/gst-nvinfer/gstnvinfer.cpp(1376): convert_batch_and_push_to_input_thread (): /GstPipeline:pipeline0/GstNvInfer:lpr-secondary1-nvinference-engine 0:01:08.058934191 22824 0x55c1da5d40 WARN nvinfer gstnvinfer.cpp:2288:gst_nvinfer_output_loop: error: Internal data stream error. 0:01:08.059032495 22824 0x55c1da5d40 WARN nvinfer gstnvinfer.cpp:2288:gst_nvinfer_output_loop: error: streaming stopped, reason error (-5) ``` And those are my config files. [lpd\_ccpd\_config\_yolocls.txt](https://forums.developer.nvidia.com/uploads/short-url/zkDxdmgtFTiFjRhvJ4dztDXFLQA.txt) (1.2 KB) [lpr\_config\_sgie\_ch.txt](https://forums.developer.nvidia.com/uploads/short-url/yce1ZjrZ31HZnNc7OMK7KJiLXXW.txt) (1.0 KB) Could someone help me please? ---
**Author:** ![Amycao](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/amycao/32/11342_2.png) [@Amycao](https://forums.developer.nvidia.com/u/Amycao)\ **Post date:** [April 13, 2022, 10:47am UTC](https://forums.developer.nvidia.com/t/vic-configuration-failed-image-scale-factor-exceeds-16-use-gpu-for-transformation/210748/3 "2022-04-13T10:47:46Z")
> [@406769249](#): > > ```auto > /dvs/git/dirty/git-master_linux/nvutils/nvbufsurftransform/nvbufsurftransform.cpp:3752: => VIC Configuration failed image scale factor exceeds 16, use GPU for Transformation > > ``` This is limitation on Jetson. and the issue reproduced, we are checking it. ---
**Author:** ![Fiona.Chen](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/fiona.chen/32/15508_2.png) [@Fiona.Chen](https://forums.developer.nvidia.com/u/Fiona.Chen)\ **Post date:** [April 19, 2022, 1:00pm UTC](https://forums.developer.nvidia.com/t/vic-configuration-failed-image-scale-factor-exceeds-16-use-gpu-for-transformation/210748/4 "2022-04-19T13:00:07Z")
What is your model’s input dimensions? ---
**Author:** ![406769249](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@406769249](https://forums.developer.nvidia.com/u/406769249)\ **Post date:** [April 20, 2022, 1:42am UTC](https://forums.developer.nvidia.com/t/vic-configuration-failed-image-scale-factor-exceeds-16-use-gpu-for-transformation/210748/5 "2022-04-20T01:42:49Z")
I think the problem is the lpd model.This model’s input is 3x1168x720.I change input-object-min-height and input-object-min-width to 100, and it works. ```auto 0:00:21.059681465 825 0x556616f4f0 INFO nvinfer gstnvinfer.cpp:638:gst_nvinfer_logger: NvDsInferContext[UID 5]: Info from NvDsInferContextImpl::deserializeEngineAndBackend() [UID = 5]: deserialized trt engine from :/home/nephilim/5gai/identify/deepstream_deploy/weights/lp/ccpd_pruned.etlt_b16_gpu0_int8.engine INFO: [Implicit Engine Info]: layers num: 3 0 INPUT kFLOAT input_1 3x1168x720 1 OUTPUT kFLOAT output_bbox/BiasAdd 4x73x45 2 OUTPUT kFLOAT output_cov/Sigmoid 1x73x45 ``` Why 73 and 45 can’t work? ---
**Author:** ![system](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/system/32/68080_2.png) [@system](https://forums.developer.nvidia.com/u/system)\ **Post date:** [May 17, 2022, 2:36am UTC](https://forums.developer.nvidia.com/t/vic-configuration-failed-image-scale-factor-exceeds-16-use-gpu-for-transformation/210748/7 "2022-05-17T02:36:58Z")
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