You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
41 lines
1.1 KiB
41 lines
1.1 KiB
#include "inference.h" |
|
|
|
#include <iostream> |
|
#include <opencv2/highgui.hpp> |
|
|
|
int main(int argc, char **argv) { |
|
// Check if the correct number of arguments is provided |
|
if (argc != 3) { |
|
std::cerr << "usage: " << argv[0] << " <model_path> <image_path>" << std::endl; |
|
return 1; |
|
} |
|
|
|
// Get the model and image paths from the command-line arguments |
|
const std::string model_path = argv[1]; |
|
const std::string image_path = argv[2]; |
|
|
|
// Read the input image |
|
cv::Mat image = cv::imread(image_path); |
|
|
|
// Check if the image was successfully loaded |
|
if (image.empty()) { |
|
std::cerr << "ERROR: image is empty" << std::endl; |
|
return 1; |
|
} |
|
|
|
// Define the confidence and NMS thresholds |
|
const float confidence_threshold = 0.5; |
|
const float NMS_threshold = 0.5; |
|
|
|
// Initialize the YOLO inference with the specified model and parameters |
|
yolo::Inference inference(model_path, cv::Size(640, 640), confidence_threshold, NMS_threshold); |
|
|
|
// Run inference on the input image |
|
inference.RunInference(image); |
|
|
|
// Display the image with the detections |
|
cv::imshow("image", image); |
|
cv::waitKey(0); |
|
|
|
return 0; |
|
}
|
|
|