Doing tlt inference only with tensorrt

[xyz]

I want to run the .engine models(yolov3 , detecnetv2 generated with TLT), just using TensorRT(not using deepstream) please put some C++ samples for this problem,thanks

[Morganh]

Refer to

Inferring Yolo_v3.trt model in python

Hi i converted the yolov3-mobilenetv2 tlt model to trt engine with tlt-convertor. This trt engine giving good results with infering through tlt-infer and deepstream. Next I tried to infer the same TensorRT model via python standalone script.But when i infer with script, i got more false positives. Here i add my preprocesing and post processing script. can you ,let me know if any mistakes i need to correct here? Preprocessing steps def process_image(self,arr): image_resized=cv2.resize(a…

How to run purpose built model Peoplenet on Jetson Nano in my own application?

Thanks, for the reference. The code you referred has the post processing step telling how to parse the output from model. I implemented this in my application and when I run inference on a sample image, the confidence value coming from the model is 0 at all positions. With respect to preprocessing, I am multiplying the image with scale factor 0.00392156 and converting to RGB color space. I am attaching the source code here, kindly let me know if I miss anything. inferPeopleNet.cpp (8.0 KB)

Run PeopleNet with tensorrt

In detectnet_v2 pre-processing for 3 channels, please refer to below. a = np.asarray(img).astype(np.float32) a= a.transpose(2, 0, 1) / 255.0

[xyz]

Thanks