-
| Model name | InputSize | TrainSet | TestSet | mAP |
| ----- | ------ | ------ | ------ | ----- |
| [YOLOv3-Mobilenet](https://github.com/Adamdad/keras-YOLOv3-mobilenet) | 320x320 | VOC07+12 | VO…
-
Hi everyone, I have a question about YOLO and MobileNet: If we use MobileNet backend for object detection, then what is the usage of YOLO? My understanding is YOLO is basically a nn structure (darkne…
-
mobilenet_yolo_voc: 22 FPS
yolo_voc: 40FPS
why mobilenet_yolo_voc is slower than yolo_voc ?
-
## detail | 详细描述 | 詳細な説明
loop_count = 64
num_threads = 8
powersave = 0
gpu_device = -1
cooling_down = 0
squeezenet min = 20.73 max = 142.01 avg = 47.55
squeezenet_int8 m…
-
**Please fill in the information below so that we can solve the problem quickly, Thanks !**
**Describe the bug**
[在这里下载的模型.](https://bj.bcebos.com/paddle2onnx/model_zoo/yolov3_mobilenet_v1_270e_co…
-
Hello everyone,
I'm working on training a Yolo model for object detection and plan to use a Google Coral Dev Board for inference. As the Coral documentation recommends, the model should be in the T…
-
@hjimce it seems that the software is made of yolo_v1+ mobilenet_v1 rather than yolo_v3+ mobilenet_v2?
-
I try to dump model for inference but got this error.
Error:
```
/Users/bilal_temp/Environments/keras_yolo/lib/python3.7/site-packages/keras_applications/mobilenet.py:207: UserWarning: `
input_s…
-
## 시나리오를 다양하게 하여 추론시간 측정
- 각 장비의 최대 처리수를 감안하여 시나리오를 생성 후 측정한다
- 처리할 수 있는 양은 xavier2 > tx2 > nano1 이다. 따라서 3개의 모델에 모두 보낼때는 nano1을 기준으로 하여 시나리오를 생성하고 nano1을 제외하고 보낸다면 tx2를 기준으로 하여 시나리오를 생성한다.
- 각각의…
-
Have you used the pretrained MobileNet model and construct yolo layers on top? And used pretrained MobileNet weights for Mobilenet initialization?
Or you just took the architecture of MobileNet and …