Fix some words (#7667)

Author: co63oc

configs/slim/ofa/ofa_picodet_demo.yml

@@ -23,7 +23,7 @@ OFA:
                        'backbone.4_1._conv_pw_mv1._conv', 'backbone.4_2._conv_linear._conv',
                        'backbone.4_3._conv_linear._conv']
 
-        # For block-wise search, make layers in each block in the same search sapce
+        # For block-wise search, make layers in each block in the same search space
         same_search_space: [
                 ['backbone.2_1._conv_dw_1._conv', 'backbone.2_1._conv_pw_2._conv',
                  'backbone.2_1._conv_dw_2._conv', 'backbone.2_1._se.conv1', 'backbone.2_1._se.conv2'],

configs/sniper/README.md

@@ -10,16 +10,16 @@ English | [简体中文](README_cn.md)
 | w/ |    4    |    1    | ResNet-r50-FPN      | [VisDrone](https://github.com/VisDrone/VisDrone-Dataset)   |   1x    |  29.7  | [Download Link](https://bj.bcebos.com/v1/paddledet/models/faster_rcnn_r50_fpn_1x_sniper_visdrone.pdparams) | [config](./faster_rcnn_r50_fpn_1x_sniper_visdrone.yml) |
 
 ### Note
-- Here, we use VisDrone dataset, and to detect 9 objects including `person, bicycles, car, van, truck, tricyle, awning-tricyle, bus, motor`.
-- Do not support deploy by now because sniper dataset crop behavor.
+- Here, we use VisDrone dataset, and to detect 9 objects including `person, bicycles, car, van, truck, tricycle, awning-tricycle, bus, motor`.
+- Do not support deploy by now because sniper dataset crop behavior.
 
 ## Getting Start
 ### 1. Training
 a. optional: Run `tools/sniper_params_stats.py` to get image_target_sizes\valid_box_ratio_ranges\chip_target_size\chip_target_stride，and modify this params in configs/datasets/sniper_coco_detection.yml
 ```bash
 python tools/sniper_params_stats.py FasterRCNN annotations/instances_train2017.json
 ```
-b. optional: trian detector to get negative proposals.
+b. optional: train detector to get negative proposals.
 ```bash
 python -m paddle.distributed.launch --log_dir=./sniper/ --gpus 0,1,2,3,4,5,6,7 tools/train.py -c configs/sniper/faster_rcnn_r50_fpn_1x_sniper_visdrone.yml --save_proposals --proposals_path=./proposals.json &>sniper.log 2>&1 &
 ```

configs/ssd/_base_/ssd_vgg16_300.yml

@@ -1,7 +1,7 @@
 architecture: SSD
 pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/VGG16_caffe_pretrained.pdparams
 
-# Model Achitecture
+# Model Architecture
 SSD:
   # model feat info flow
   backbone: VGG

dataset/coco/download_coco.py

@@ -15,7 +15,7 @@
 import sys
 import os.path as osp
 import logging
-# add python path of PadleDetection to sys.path
+# add python path of PaddleDetection to sys.path
 parent_path = osp.abspath(osp.join(__file__, *(['..'] * 3)))
 if parent_path not in sys.path:
     sys.path.append(parent_path)

dataset/roadsign_voc/download_roadsign_voc.py

@@ -15,7 +15,7 @@
 import sys
 import os.path as osp
 import logging
-# add python path of PadleDetection to sys.path
+# add python path of PaddleDetection to sys.path
 parent_path = osp.abspath(osp.join(__file__, *(['..'] * 3)))
 if parent_path not in sys.path:
     sys.path.append(parent_path)

dataset/spine_coco/download_spine_coco.py

@@ -15,7 +15,7 @@
 import sys
 import os.path as osp
 import logging
-# add python path of PadleDetection to sys.path
+# add python path of PaddleDetection to sys.path
 parent_path = osp.abspath(osp.join(__file__, *(['..'] * 3)))
 if parent_path not in sys.path:
     sys.path.append(parent_path)

dataset/voc/create_list.py

@@ -15,7 +15,7 @@
 import sys
 import os.path as osp
 import logging
-# add python path of PadleDetection to sys.path
+# add python path of PaddleDetection to sys.path
 parent_path = osp.abspath(osp.join(__file__, *(['..'] * 3)))
 if parent_path not in sys.path:
     sys.path.append(parent_path)

dataset/voc/download_voc.py

@@ -15,7 +15,7 @@
 import sys
 import os.path as osp
 import logging
-# add python path of PadleDetection to sys.path
+# add python path of PaddleDetection to sys.path
 parent_path = osp.abspath(osp.join(__file__, *(['..'] * 3)))
 if parent_path not in sys.path:
     sys.path.append(parent_path)

deploy/benchmark/log_parser_excel.py

@@ -195,7 +195,7 @@ def trt_perf_analysis(raw_df):
     gpu_df = raw_df.loc[raw_df['runtime_device'] == 'gpu']
     new_df = filter_df_merge(gpu_df, "precision")
 
-    # calculate qps diff percentail
+    # calculate qps diff percentile
     infer_fp32 = "inference_time(ms)_precision_fp32"
     infer_fp16 = "inference_time(ms)_precision_fp16"
     infer_int8 = "inference_time(ms)_precision_int8"
@@ -228,7 +228,7 @@ def mkl_perf_analysis(raw_df):
     output_thread_df = filter_df_merge(thread_compare_df,
                                        'cpu_math_library_num_threads')
 
-    # calculate performance diff percentail
+    # calculate performance diff percentile
     # compare mkl performance with cpu
     enable_mkldnn = "inference_time(ms)_enable_mkldnn_True"
     disable_mkldnn = "inference_time(ms)_enable_mkldnn_False"

deploy/cpp/docs/windows_vs2019_build.md

@@ -5,7 +5,7 @@ Windows 平台下，我们使用`Visual Studio 2019 Community` 进行了测试
 
 ## 前置条件
 * Visual Studio 2019 (根据Paddle预测库所使用的VS版本选择，请参考 [Visual Studio 不同版本二进制兼容性](https://docs.microsoft.com/zh-cn/cpp/porting/binary-compat-2015-2017?view=vs-2019) )
-* CUDA 9.0 / CUDA 10.0，cudnn 7+ / TensoRT（仅在使用GPU版本的预测库时需要）
+* CUDA 9.0 / CUDA 10.0，cudnn 7+ / TensorRT（仅在使用GPU版本的预测库时需要）
 * CMake 3.0+ [CMake下载](https://cmake.org/download/)
 
 **特别注意：windows下预测库需要的TensorRT版本为：**。