add python demos

examples/yolov8/model/adla_convert.sh

@@ -0,0 +1,24 @@
+# 1. $1: set ADLA_TOOL_PATH 
+# 2. $2: set  target-plaftorm 
+#  for A311D2 target-platform is PRODUCT_PID0XA003
+#  for S905X5 target-platform is PRODUCT_PID0XA005
+# Usage: ./adla_covnert.sh yolov8m.onnx /XXX/adla-toolkit-binary-3.2.9.3 PRODUCT_PID0XA005
+
+model_path=$1
+ADLA_TOOL_PATH=$2
+target_platform=$3
+
+echo "model_path:[$model_path]"
+echo "ADLA_TOOL_PATH:[$ADLA_TOOL_PATH]"
+echo "target-plaftorm:[$target_platform]"
+
+adla_convert=${ADLA_TOOL_PATH}/bin/adla_convert
+
+$adla_convert --model-type onnx \
+	--model $model_path \
+	--inputs images --input-shapes "1,3,640,640" \
+	--quantize-dtype int8 \
+	--source-file dataset_coco.txt \
+	--channel-mean-value "0,0,0,255" \
+	--outputs "/model.22/Concat_output_0 /model.22/Concat_1_output_0 /model.22/Concat_2_output_0" \
+	--target-platform $target_platform