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--- products:sbc:edge2:npu:demos:yolov7-tiny [2023/09/20 04:08]
hyphop [Convert]
+++ products:sbc:edge2:npu:demos:yolov7-tiny [2025/04/09 23:10] (current)
louis
@@ Line 4: / Line 4: @@
 {{indexmenu_n>1}}
+===== Introduction =====
+YOLOv7-Tiny is an object detection model. It uses bounding boxes to precisely draw each object in image.
+Inference results on Edge2.
+{{:products:sbc:edge2:npu:demos:yolov7-tiny-result.jpg?800|}}
+**Inference speed test**: USB camera about **43ms** per frame. MIPI camera about **33ms** per frame.
 ===== Train Model =====
@@ Line 143: / Line 153: @@
 $ bash build.sh
-# Run
+# Run USB camera
+$ cd install/yolov7_tiny
+$ ./yolov7_tiny data/model/yolov7_tiny.rknn usb 60
+# Run MIPI camera
 $ cd install/yolov7_tiny
-$ ./yolov7_tiny data/model/yolov7_tiny.rknn 33
+$ ./yolov7_tiny data/model/yolov7_tiny.rknn mipi 42
 ```
 <WRAP info >
-''33'' is camera device index.
+''60'' and ''42'' are camera device index.
 </WRAP>
 <WRAP tip >
-If your **YOLOv7 tiny** model classes is not the same as **coco**, please change ''data/coco_80_labels_list.txt'' and the ''OBJ_CLASS_NUM'' in ''include/postprocess.h''.
+If your **YOLOv7 tiny** model classes are not the same as **COCO**, please change ''data/coco_80_labels_list.txt'' and the ''OBJ_CLASS_NUM'' in ''include/postprocess.h''.
 </WRAP>

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