modelartifacts links now point to 08_01 release

README.md

@@ -10,14 +10,14 @@ This repository is based on [ultralytics/yolov5](https://github.com/ultralytics/
 
 ## **Official Models from Ultralytics**
 
-|Dataset |Model Name                      |Input Size |GigaMACS  |AP[0.5:0.95]%| AP50%|Notes |
+|Dataset |Model Name                      |Input Size |GFLOPS  |AP[0.5:0.95]%| AP50%|Notes |
 |--------|------------------------------- |-----------|----------|-------------|------|----- |
-|COCO    |Yolov5s6                        |1280x1280  |**34.8** |   43.3      | 61.9 |
-|COCO    |Yolov5s6_640                    |640x640    |**8.7**  |   38.9      | 56.8 |(Train@ 1280, val@640) |
-|COCO    |Yolov5m6                        |1280x1280  |**104.8**|   50.5      | 68.7 |       |
-|COCO    |Yolov5m6_640                    |640x640    |**26.2** |   45.4      | 63.6 |(Train@ 1280, val@640) |
-|COCO    |Yolov5l6                        |1280x1280  |**235.4**|   53.4      | 71.1 |       |
-|COCO    |Yolov5l6_640                    |640x640    |**58.85**|   49.0      | 67.0 |(Train@ 1280, val@640) |
+|COCO    |Yolov5s6                        |1280x1280  |**69.6** |   43.3      | 61.9 |
+|COCO    |Yolov5s6_640                    |640x640    |**17.4**  |   38.9      | 56.8 |(Train@ 1280, val@640) |
+|COCO    |Yolov5m6                        |1280x1280  |**209.6**|   50.5      | 68.7 |       |
+|COCO    |Yolov5m6_640                    |640x640    |**52.4** |   45.4      | 63.6 |(Train@ 1280, val@640) |
+|COCO    |Yolov5l6                        |1280x1280  |**470.8**|   53.4      | 71.1 |       |
+|COCO    |Yolov5l6_640                    |640x640    |**117.7**|   49.0      | 67.0 |(Train@ 1280, val@640) |
 
 <br/>
 
@@ -91,7 +91,7 @@ python test.py --data coco.yaml --img 512 --conf 0.001 --iou 0.65 --weights pret
 ###  **ONNX export including detection:**
 * Run the following command to export the entire models including the detection part, 
 ``` 
-    python models/export.py --weights pretrained_models/yolov5s6_640_ti_lite/weights/best.pt  --img 640 --batch 1 --simplify --export-nms --opset 11 # export at 640x640 with batch size 1
+    python export.py --weights pretrained_models/yolov5s6_640_ti_lite/weights/best.pt  --img 640 --batch 1 --simplify --export-nms --opset 11 # export at 640x640 with batch size 1
 ```
 
 ## **References**

pretrained_models/modelartifacts/8bits/artifacts.list

@@ -1,5 +1,5 @@
-task_type,session_name,run_dir,model_name,size,shortlisted
-detection,onnxrt,od-8100_onnxrt_weights_yolov5s6_640_ti_lite_37p4_56p0_onnx,weights_yolov5s6_640_ti_lite_37p4_56p0.onnx,51596848,True
-detection,onnxrt,od-8110_onnxrt_weights_yolov5s6_384_ti_lite_32p8_51p2_onnx,weights_yolov5s6_384_ti_lite_32p8_51p2.onnx,51397030,True
-detection,onnxrt,od-8120_onnxrt_weights_yolov5m6_640_ti_lite_44p1_62p9_onnx,weights_yolov5m6_640_ti_lite_44p1_62p9.onnx,141679412,True
-detection,onnxrt,od-8130_onnxrt_weights_yolov5l6_640_ti_lite_47p1_65p6_onnx,weights_yolov5l6_640_ti_lite_47p1_65p6.onnx,299842909,False
+task_type,session_name,run_dir,model_name,size,shortlisted,recommended
+detection,onnxrt,od-8100_onnxrt_weights_yolov5s6_640_ti_lite_37p4_56p0_onnx,ONR-OD-8100-yolov5-s6-ti-lite-coco-640x640,51608959,True,False
+detection,onnxrt,od-8110_onnxrt_weights_yolov5s6_384_ti_lite_32p8_51p2_onnx,ONR-OD-8110-yolov5-s6-ti-lite-coco-384x384,51404863,True,False
+detection,onnxrt,od-8120_onnxrt_weights_yolov5m6_640_ti_lite_44p1_62p9_onnx,ONR-OD-8120-yolov5-m6-ti-lite-coco-640x640,141703361,False,False
+detection,onnxrt,od-8130_onnxrt_weights_yolov5l6_640_ti_lite_47p1_65p6_onnx,ONR-OD-8130-yolov5-l6-ti-lite-coco-640x640,299199158,False,False

pretrained_models/modelartifacts/8bits/artifacts.yaml

@@ -1,28 +1,32 @@
 od-8100_onnxrt:
-  model_name: weights_yolov5s6_640_ti_lite_37p4_56p0.onnx
+  model_name: ONR-OD-8100-yolov5-s6-ti-lite-coco-640x640
+  recommended: false
   run_dir: od-8100_onnxrt_weights_yolov5s6_640_ti_lite_37p4_56p0_onnx
   session_name: onnxrt
   shortlisted: true
-  size: 51596848
+  size: 51608959
   task_type: detection
 od-8110_onnxrt:
-  model_name: weights_yolov5s6_384_ti_lite_32p8_51p2.onnx
+  model_name: ONR-OD-8110-yolov5-s6-ti-lite-coco-384x384
+  recommended: false
   run_dir: od-8110_onnxrt_weights_yolov5s6_384_ti_lite_32p8_51p2_onnx
   session_name: onnxrt
   shortlisted: true
-  size: 51397030
+  size: 51404863
   task_type: detection
 od-8120_onnxrt:
-  model_name: weights_yolov5m6_640_ti_lite_44p1_62p9.onnx
+  model_name: ONR-OD-8120-yolov5-m6-ti-lite-coco-640x640
+  recommended: false
   run_dir: od-8120_onnxrt_weights_yolov5m6_640_ti_lite_44p1_62p9_onnx
   session_name: onnxrt
-  shortlisted: true
-  size: 141679412
+  shortlisted: false
+  size: 141703361
   task_type: detection
 od-8130_onnxrt:
-  model_name: weights_yolov5l6_640_ti_lite_47p1_65p6.onnx
+  model_name: ONR-OD-8130-yolov5-l6-ti-lite-coco-640x640
+  recommended: false
   run_dir: od-8130_onnxrt_weights_yolov5l6_640_ti_lite_47p1_65p6_onnx
   session_name: onnxrt
   shortlisted: false
-  size: 299842909
+  size: 299199158
   task_type: detection

pretrained_models/modelartifacts/8bits/od-8100_onnxrt_weights_yolov5s6_640_ti_lite_37p4_56p0_onnx.tar.gz.link

@@ -1 +1 @@
-http://software-dl.ti.com/jacinto7/esd/modelzoo/gplv3/08_00_00_05/edgeai-yolov5/pretrained_models/modelartifacts/8bits/od-8100_onnxrt_weights_yolov5s6_640_ti_lite_37p4_56p0_onnx.tar.gz
+http://software-dl.ti.com/jacinto7/esd/modelzoo/gplv3/08_01_00_05/edgeai-yolov5/pretrained_models/modelartifacts/8bits/od-8100_onnxrt_weights_yolov5s6_640_ti_lite_37p4_56p0_onnx.tar.gz

pretrained_models/modelartifacts/8bits/od-8110_onnxrt_weights_yolov5s6_384_ti_lite_32p8_51p2_onnx.tar.gz.link

@@ -1 +1 @@
-http://software-dl.ti.com/jacinto7/esd/modelzoo/gplv3/08_00_00_05/edgeai-yolov5/pretrained_models/modelartifacts/8bits/od-8110_onnxrt_weights_yolov5s6_384_ti_lite_32p8_51p2_onnx.tar.gz
+http://software-dl.ti.com/jacinto7/esd/modelzoo/gplv3/08_01_00_05/edgeai-yolov5/pretrained_models/modelartifacts/8bits/od-8110_onnxrt_weights_yolov5s6_384_ti_lite_32p8_51p2_onnx.tar.gz

pretrained_models/modelartifacts/8bits/od-8120_onnxrt_weights_yolov5m6_640_ti_lite_44p1_62p9_onnx.tar.gz.link

@@ -1 +1 @@
-http://software-dl.ti.com/jacinto7/esd/modelzoo/gplv3/08_00_00_05/edgeai-yolov5/pretrained_models/modelartifacts/8bits/od-8120_onnxrt_weights_yolov5m6_640_ti_lite_44p1_62p9_onnx.tar.gz
+http://software-dl.ti.com/jacinto7/esd/modelzoo/gplv3/08_01_00_05/edgeai-yolov5/pretrained_models/modelartifacts/8bits/od-8120_onnxrt_weights_yolov5m6_640_ti_lite_44p1_62p9_onnx.tar.gz

pretrained_models/modelartifacts/8bits/od-8130_onnxrt_weights_yolov5l6_640_ti_lite_47p1_65p6_onnx.tar.gz.link

@@ -1 +1 @@
-http://software-dl.ti.com/jacinto7/esd/modelzoo/gplv3/08_00_00_05/edgeai-yolov5/pretrained_models/modelartifacts/8bits/od-8130_onnxrt_weights_yolov5l6_640_ti_lite_47p1_65p6_onnx.tar.gz
+http://software-dl.ti.com/jacinto7/esd/modelzoo/gplv3/08_01_00_05/edgeai-yolov5/pretrained_models/modelartifacts/8bits/od-8130_onnxrt_weights_yolov5l6_640_ti_lite_47p1_65p6_onnx.tar.gz

pretrained_models/modelartifacts/8bits/od-8140_onnxrt_edgeai-yolox_yolox-s-ti-lite_39p1_57p9_onnx.tar.gz.link

@@ -0,0 +1 @@
+http://software-dl.ti.com/jacinto7/esd/modelzoo/gplv3/08_01_00_05/edgeai-yolov5/pretrained_models/modelartifacts/8bits/od-8140_onnxrt_edgeai-yolox_yolox-s-ti-lite_39p1_57p9_onnx.tar.gz