Where to Download CAR Color model?

Sorry if this question is stupid. But I can’t find the Car Color model (NGC) to use on Deepstream.
This model was removed?

We have Car Color model packaged with the deepstream release package. it’s under samples/models/Secondary_CarColor

Thank you.
There is any link how to convert Secondary_CarColor/resnet18.caffemodel to TRT engine to be used on Triton Server?

Thank you, I found solution.

$  trtexec --deploy=resnet18.prototxt --model=resnet18.caffemodel --output=predictions/Softmax --batch=60 --int8 --calib=cal_trt.bin --saveEngine=resnet18.caffemodel_b50_gpu0_int8.engine
[10/11/2022-13:58:59] [I] === Model Options ===
[10/11/2022-13:58:59] [I] Format: Caffe


[10/11/2022-14:00:02] [I] === Performance summary ===
[10/11/2022-14:00:02] [I] Throughput: 5553.9 qps
[10/11/2022-14:00:02] [I] Latency: min = 13.4011 ms, max = 13.6005 ms, mean = 13.5537 ms, median = 13.5545 ms, percentile(99%) = 13.5913 ms
[10/11/2022-14:00:02] [I] End-to-End Host Latency: min = 13.4204 ms, max = 13.6294 ms, mean = 13.5781 ms, median = 13.5789 ms, percentile(99%) = 13.6113 ms
[10/11/2022-14:00:02] [I] Enqueue Time: min = 0.178223 ms, max = 0.195618 ms, mean = 0.180984 ms, median = 0.180176 ms, percentile(99%) = 0.191406 ms
[10/11/2022-14:00:02] [I] H2D Latency: min = 10.7903 ms, max = 10.8048 ms, mean = 10.7921 ms, median = 10.7919 ms, percentile(99%) = 10.7947 ms
[10/11/2022-14:00:02] [I] GPU Compute Time: min = 2.60693 ms, max = 2.7688 ms, mean = 2.72129 ms, median = 2.72217 ms, percentile(99%) = 2.75604 ms
[10/11/2022-14:00:02] [I] D2H Latency: min = 0.00390625 ms, max = 0.0441895 ms, mean = 0.0403007 ms, median = 0.0400391 ms, percentile(99%) = 0.0440674 ms
[10/11/2022-14:00:02] [I] Total Host Walltime: 3.0249 s
[10/11/2022-14:00:02] [I] Total GPU Compute Time: 0.761961 s
[10/11/2022-14:00:02] [W] * Throughput may be bound by host-to-device transfers for the inputs rather than GPU Compute and the GPU may be under-utilized.
[10/11/2022-14:00:02] [W]   Add --noDataTransfers flag to disable data transfers.
[10/11/2022-14:00:02] [I] Explanations of the performance metrics are printed in the verbose logs.
[10/11/2022-14:00:02] [I]

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