dGPU
DS7
I’m wondering, if there would be a configuration option amongst the many below (LPD configuration), which would allow to slightly resize the BBox of the LPD classifier, before it goes into LPR, in order to approve the results.
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[property]
gpu-id=0
net-scale-factor=1.0
offsets=103.939;116.779;123.68
model-color-format=1
#labelfile-path=./models/tao_pretrained_models/yolov4-tiny/usa_lpd_label.txt
model-engine-file=./models/tao_pretrained_models/yolov4-tiny/yolov4_tiny_usa_deployable.etlt_b16_gpu0_int8.engine
int8-calib-file=./models/tao_pretrained_models/yolov4-tiny/yolov4_tiny_usa_cal.bin
tlt-encoded-model=./models/tao_pretrained_models/yolov4-tiny/yolov4_tiny_usa_deployable.etlt
tlt-model-key=nvidia_tlt
infer-dims=3;480;640
maintain-aspect-ratio=1
uff-input-order=0
uff-input-blob-name=Input
batch-size=16
## 0=FP32, 1=INT8, 2=FP16 mode
network-mode=1
num-detected-classes=4
interval=0
gie-unique-id=2
is-classifier=0
#network-type=0
cluster-mode=3
output-blob-names=BatchedNMS
#if scaling-compute-hw = VIC, input-object-min-height need to be even and greater than or equal to (model height)/16
input-object-min-height=30
#if scaling-compute-hw = VIC, input-object-min-width need to be even and greater than or equal to( model width)/16
input-object-min-width=40
parse-bbox-func-name=NvDsInferParseCustomBatchedNMSTLT
custom-lib-path=/opt/nvidia/deepstream/deepstream/lib/libnvds_infercustomparser.so
layer-device-precision=cls/mul:fp32:gpu;box/mul_6:fp32:gpu;box/add:fp32:gpu;box/mul_4:fp32:gpu;box/add_1:fp32:gpu;cls/Reshape_reshape:fp32:gpu;box/Reshape_reshape:fp32:gpu;encoded_detections:fp32:gpu;bg_leaky_conv1024_lrelu:fp32:gpu;sm_bbox_processor/concat_concat:fp32:gpu;sm_bbox_processor/sub:fp32:gpu;sm_bbox_processor/Exp:fp32:gpu;yolo_conv1_4_lrelu:fp32:gpu;yolo_conv1_3_1_lrelu:fp32:gpu;md_leaky_conv512_lrelu:fp32:gpu;sm_bbox_processor/Reshape_reshape:fp32:gpu;conv_sm_object:fp32:gpu;yolo_conv5_1_lrelu:fp32:gpu;concatenate_6:fp32:gpu;yolo_conv3_1_lrelu:fp32:gpu;concatenate_5:fp32:gpu;yolo_neck_1_lrelu:fp32:gpu
[class-attrs-all]
pre-cluster-threshold=0.3
roi-top-offset=0
roi-bottom-offset=0
detected-min-w=0
detected-min-h=0
detected-max-w=0
detected-max-h=0
I’m having a plate which is constantly and repeatedly recognized as 51DRVV, even though anybody can see it is a 61DRVV. I suppose it has to do with the little too small width of the LPD result (top/left should be slightly moved left)
