diff --git a/tests/acc_eval/classification/run.sh b/tests/acc_eval/classification/run.sh
old mode 100644
new mode 100755
index 16c1b2bb9..73fe957d4
--- a/tests/acc_eval/classification/run.sh
+++ b/tests/acc_eval/classification/run.sh
@@ -4,5 +4,5 @@ model_dir=`ls ./models/`
 
 for MODEL_NAME in $model_dir
 do
-    python infer.py --model ./models/$MODEL_NAME  --image None --device $TARGET_DEVICE 2>&1 | tee ./log/${MODEL_NAME}_acc.log
+    python eval.py --model ./models/$MODEL_NAME  --image None --device $TARGET_DEVICE 2>&1 | tee ./log/${MODEL_NAME}_acc.log
 done
diff --git a/tests/acc_eval/detection/eval_yolov5.py b/tests/acc_eval/detection/eval_yolov5.py
index 3d950b26a..f4aecbdc1 100755
--- a/tests/acc_eval/detection/eval_yolov5.py
+++ b/tests/acc_eval/detection/eval_yolov5.py
@@ -52,8 +52,8 @@ model = fd.vision.detection.YOLOv5(
     runtime_option=runtime_option,
     model_format=fd.ModelFormat.PADDLE)
 
-image_file_path = "/xieyunyao/Project/coco/val2017"
-annotation_file_path = "/xieyunyao/Project/coco/annotations/instances_val2017.json"
+image_file_path = "../dataset/coco/val2017"
+annotation_file_path = "../dataset/coco/annotations/instances_val2017.json"
 
 res = fd.vision.evaluation.eval_detection(model, image_file_path,
                                           annotation_file_path, 0.001, 0.65)
diff --git a/tests/acc_eval/detection/eval_yolov6.py b/tests/acc_eval/detection/eval_yolov6.py
index 3641194ca..3992c9f53 100755
--- a/tests/acc_eval/detection/eval_yolov6.py
+++ b/tests/acc_eval/detection/eval_yolov6.py
@@ -52,8 +52,8 @@ model = fd.vision.detection.YOLOv6(
     runtime_option=runtime_option,
     model_format=fd.ModelFormat.PADDLE)
 
-image_file_path = "/xieyunyao/Project/coco/val2017"
-annotation_file_path = "/xieyunyao/Project/coco/annotations/instances_val2017.json"
+image_file_path = "../dataset/coco/val2017"
+annotation_file_path = "../dataset/coco/annotations/instances_val2017.json"
 
 res = fd.vision.evaluation.eval_detection(model, image_file_path,
                                           annotation_file_path, 0.001, 0.65)
diff --git a/tests/acc_eval/detection/eval_yolov7.py b/tests/acc_eval/detection/eval_yolov7.py
index 3641194ca..3992c9f53 100755
--- a/tests/acc_eval/detection/eval_yolov7.py
+++ b/tests/acc_eval/detection/eval_yolov7.py
@@ -52,8 +52,8 @@ model = fd.vision.detection.YOLOv6(
     runtime_option=runtime_option,
     model_format=fd.ModelFormat.PADDLE)
 
-image_file_path = "/xieyunyao/Project/coco/val2017"
-annotation_file_path = "/xieyunyao/Project/coco/annotations/instances_val2017.json"
+image_file_path = "../dataset/coco/val2017"
+annotation_file_path = "../dataset/coco/annotations/instances_val2017.json"
 
 res = fd.vision.evaluation.eval_detection(model, image_file_path,
                                           annotation_file_path, 0.001, 0.65)
diff --git a/tests/acc_eval/detection/run.sh b/tests/acc_eval/detection/run.sh
old mode 100644
new mode 100755
index 59dff2e9b..051663215
--- a/tests/acc_eval/detection/run.sh
+++ b/tests/acc_eval/detection/run.sh
@@ -12,6 +12,6 @@ python eval_yolov3.py  --model_dir ./models/yolov3_darknet53_270e_coco  --image
 python eval_yolox.py --model_dir ./models/yolox_s_300e_coco  --image None --device $TARGET_DEVICE 2>&1 | tee ./log/yolox_s_300e_coco.log
 python eval_faster_rcnn.py  --model_dir ./models/faster_rcnn_r50_vd_fpn_2x_coco  --image None --device $TARGET_DEVICE 2>&1 | tee ./log/faster_rcnn_r50_vd_fpn_2x_coco.log
 python eval_mask_rcnn.py  --model_dir ./models/mask_rcnn_r50_1x_coco  --image None --device $TARGET_DEVICE 2>&1 | tee ./log/mask_rcnn_r50_1x_coco.log
-python eval_yolov5.py  --model_dir ./models/yolov5s_infer --image None --device $TARGET_DEVICE 2>&1 | tee ./log/yolov5s_infer.log
-python eval_yolov6.py  --model_dir ./models/yolov6s_infer --image None --device $TARGET_DEVICE 2>&1 | tee ./log/yolov6s_infer.log
-python eval_yolov5.py  --model_dir ./models/yolov7_infer --image None --device $TARGET_DEVICE 2>&1 | tee ./log/yolov7_infer.log
+python eval_yolov5.py  --model ./models/yolov5s_infer --image None --device $TARGET_DEVICE 2>&1 | tee ./log/yolov5s_infer.log
+python eval_yolov6.py  --model ./models/yolov6s_infer --image None --device $TARGET_DEVICE 2>&1 | tee ./log/yolov6s_infer.log
+python eval_yolov7.py  --model ./models/yolov7_infer --image None --device $TARGET_DEVICE 2>&1 | tee ./log/yolov7_infer.log
diff --git a/tests/acc_eval/ppocr/eval_ppocrv2.py b/tests/acc_eval/ppocr/eval_ppocrv2.py
old mode 100644
new mode 100755
index f4742df66..bb478db91
--- a/tests/acc_eval/ppocr/eval_ppocrv2.py
+++ b/tests/acc_eval/ppocr/eval_ppocrv2.py
@@ -103,7 +103,7 @@ rec_model = fd.vision.ocr.Recognizer(
     runtime_option=runtime_option)
 
 # PPOCR的Rec模型开启静态推理, 其他硬件不需要的话请注释掉.
-rec_model.preprocessor.static_shape = True
+rec_model.preprocessor.static_shape_infer = True
 
 # 创建PP-OCR，串联3个模型，其中cls_model可选，如无需求，可设置为None
 ppocr_v2 = fd.vision.ocr.PPOCRv2(
diff --git a/tests/acc_eval/ppocr/eval_ppocrv3.py b/tests/acc_eval/ppocr/eval_ppocrv3.py
old mode 100644
new mode 100755
index b6f4dcced..496781ba0
--- a/tests/acc_eval/ppocr/eval_ppocrv3.py
+++ b/tests/acc_eval/ppocr/eval_ppocrv3.py
@@ -103,7 +103,7 @@ rec_model = fd.vision.ocr.Recognizer(
     runtime_option=runtime_option)
 
 # PPOCR的Rec模型开启静态推理, 其他硬件不需要的话请注释掉.
-rec_model.preprocessor.static_shape = True
+rec_model.preprocessor.static_shape_infer = True
 
 # 创建PP-OCR，串联3个模型，其中cls_model可选，如无需求，可设置为None
 ppocr_v3 = fd.vision.ocr.PPOCRv3(
diff --git a/tests/acc_eval/segmentation/eval.py b/tests/acc_eval/segmentation/eval.py
old mode 100644
new mode 100755
index b77a69519..df0dc0aa8
--- a/tests/acc_eval/segmentation/eval.py
+++ b/tests/acc_eval/segmentation/eval.py
@@ -54,5 +54,5 @@ model = fd.vision.segmentation.PaddleSegModel(
     model_file, params_file, config_file, runtime_option=runtime_option)
 
 res = fd.vision.evaluation.eval_segmentation(
-    model=model, data_dir="../dataset/FD_dataset/data/cityscapes")
+    model=model, data_dir="../dataset/cityscapes")
 print(res)