fix(README & model) some typos (#1256)

README.md

@@ -17,7 +17,7 @@ This repo is an implementation of PyTorch version YOLOX, there is also a [MegEng
 * 【2021/07/26】 We now support [MegEngine](https://github.com/Megvii-BaseDetection/YOLOX/tree/main/demo/MegEngine) deployment.
 * 【2021/07/20】 We have released our technical report on [Arxiv](https://arxiv.org/abs/2107.08430).
 
-## Comming soon
+## Coming soon
 - [ ] YOLOX-P6 and larger model.
 - [ ] Objects365 pretrain.
 - [ ] Transformer modules.

demo/MegEngine/python/models/darknet.py

@@ -18,7 +18,7 @@ class Darknet(M.Module):
         Args:
             depth (int): depth of darknet used in model, usually use [21, 53] for this param.
             in_channels (int): number of input channels, for example, use 3 for RGB image.
-            stem_out_channels (int): number of output chanels of darknet stem.
+            stem_out_channels (int): number of output channels of darknet stem.
                 It decides channels of darknet layer2 to layer5.
             out_features (Tuple[str]): desired output layer name.
         """

demo/OpenVINO/cpp/README.md

@@ -52,7 +52,7 @@ source ~/.bashrc
 
 1. Export ONNX model
    
-   Please refer to the [ONNX toturial](../../ONNXRuntime). **Note that you should set --opset to 10, otherwise your next step will fail.**
+   Please refer to the [ONNX tutorial](../../ONNXRuntime). **Note that you should set --opset to 10, otherwise your next step will fail.**
 
 2. Convert ONNX to OpenVINO 
 

demo/OpenVINO/python/README.md

@@ -52,7 +52,7 @@ source ~/.bashrc
 
 1. Export ONNX model
 
-   Please refer to the [ONNX toturial](https://github.com/Megvii-BaseDetection/YOLOX/demo/ONNXRuntime). **Note that you should set --opset to 10, otherwise your next step will fail.**
+   Please refer to the [ONNX tutorial](https://github.com/Megvii-BaseDetection/YOLOX/demo/ONNXRuntime). **Note that you should set --opset to 10, otherwise your next step will fail.**
 
 2. Convert ONNX to OpenVINO
 

docs/updates_note.md

@@ -25,7 +25,7 @@ python tools/train.py -n yolox-s -d 8 -b 64 --fp16 -o [--cache]
 
 ### Higher performance
 
-New models achive **~1%** higher performance! See [Model_Zoo](model_zoo.md) for more details.
+New models achieve **~1%** higher performance! See [Model_Zoo](model_zoo.md) for more details.
 
 ### Support torch amp
 

tools/demo.py

@@ -43,7 +43,7 @@ def make_parser():
         "--exp_file",
         default=None,
         type=str,
-        help="pls input your experiment description file",
+        help="please input your experiment description file",
     )
     parser.add_argument("-c", "--ckpt", default=None, type=str, help="ckpt for eval")
     parser.add_argument(

tools/eval.py

@@ -54,7 +54,7 @@ def make_parser():
         "--exp_file",
         default=None,
         type=str,
-        help="pls input your expriment description file",
+        help="please input your experiment description file",
     )
     parser.add_argument("-c", "--ckpt", default=None, type=str, help="ckpt for eval")
     parser.add_argument("--conf", default=None, type=float, help="test conf")

tools/export_onnx.py

@@ -38,7 +38,7 @@ def make_parser():
         "--exp_file",
         default=None,
         type=str,
-        help="expriment description file",
+        help="experiment description file",
     )
     parser.add_argument("-expn", "--experiment-name", type=str, default=None)
     parser.add_argument("-n", "--name", type=str, default=None, help="model name")

tools/export_torchscript.py

@@ -22,7 +22,7 @@ def make_parser():
         "--exp_file",
         default=None,
         type=str,
-        help="expriment description file",
+        help="experiment description file",
     )
     parser.add_argument("-expn", "--experiment-name", type=str, default=None)
     parser.add_argument("-n", "--name", type=str, default=None, help="model name")

tools/trt.py

@@ -24,7 +24,7 @@ def make_parser():
         "--exp_file",
         default=None,
         type=str,
-        help="pls input your expriment description file",
+        help="please input your experiment description file",
     )
     parser.add_argument("-c", "--ckpt", default=None, type=str, help="ckpt path")
     parser.add_argument(

yolox/evaluators/coco_evaluator.py

@@ -164,7 +164,7 @@ class COCOEvaluator:
             with torch.no_grad():
                 imgs = imgs.type(tensor_type)
 
-                # skip the the last iters since batchsize might be not enough for batch inference
+                # skip the last iters since batchsize might be not enough for batch inference
                 is_time_record = cur_iter < len(self.dataloader) - 1
                 if is_time_record:
                     start = time.time()

yolox/evaluators/voc_evaluator.py

@@ -97,7 +97,7 @@ class VOCEvaluator:
             with torch.no_grad():
                 imgs = imgs.type(tensor_type)
 
-                # skip the the last iters since batchsize might be not enough for batch inference
+                # skip the last iters since batchsize might be not enough for batch inference
                 is_time_record = cur_iter < len(self.dataloader) - 1
                 if is_time_record:
                     start = time.time()