I have an RTX 3050 in my PC with an i7-7700. I see AI detections take 500-1300 ms. That seems longer that it should be by at least an order of magnitude. I checked the logs and it claims it's using the GPU. I'm using yolov8s for the model. I seem to recall DeepStack was 100 ms or less. Has anyone else seen this or any tips to troubleshoot. I may try 8n which I'm guessing should be faster. I am using the main stream, so the images are like 2880x1530 but Google AI thinks that should be around 100 ms.
Here is a sample from the logs. There are no refrigerators in the image.
Here is a sample from the logs. There are no refrigerators in the image.
Code:
T-767 msec [1446 msec]
[
{
"api":"primary",
"found":{
"success":true,
"error":null,
"message":"",
"predictions":[
{
"category":4,
"label":"refrigerator",
"confidence":0.718442559242249,
"x_min":1095,
"x_max":1451,
"y_min":411,
"y_max":799}
,
{
"category":4,
"label":"skis",
"confidence":0.449722796678543,
"x_min":1687,
"x_max":2030,
"y_min":834,
"y_max":1115}
,
{
"category":4,
"label":"refrigerator",
"confidence":0.441071748733521,
"x_min":640,
"x_max":1188,
"y_min":3,
"y_max":1125}
,
{
"category":4,
"label":"refrigerator",
"confidence":0.415100038051605,
"x_min":1077,
"x_max":1341,
"y_min":772,
"y_max":1040}
]
,
"count":4,
"moduleId":"yolov8s.onnx",
"executionProvider":"ONNXRunTime: 3 (NVIDIA GeForce RTX 3050)",
"analysisRoundTripMs":1015}
}
]