fix(yolox): some bugs due to upgrade (#1602)

.gitignore

@@ -219,3 +219,10 @@ events.out.tfevents*
 
 # vim
 .vim
+
+# OS generated files
+.DS_Store
+.DS_Store?
+.Trashes
+ehthumbs.db
+Thumbs.db

demo/ONNXRuntime/README.md

@@ -2,7 +2,18 @@
 
 This doc introduces how to convert your pytorch model into onnx, and how to run an onnxruntime demo to verify your convertion.
 
-### Download ONNX models.
+### Step1: Install onnxruntime
+
+run the following command to install onnxruntime:
+```shell
+pip install onnxruntime
+```
+
+### Step2: Get ONNX models
+
+Users might download our pre-generated ONNX models or convert their own models to ONNX.
+
+#### Download ONNX models.
 
 | Model | Parameters | GFLOPs | Test Size | mAP | Weights |
 |:------| :----: | :----: | :---: | :---: | :---: |
@@ -14,8 +25,7 @@ This doc introduces how to convert your pytorch model into onnx, and how to run
 |  YOLOX-Darknet53| 63.72M | 185.3 | 640x640 |48.0 | [github](https://github.com/Megvii-BaseDetection/YOLOX/releases/download/0.1.1rc0/yolox_darknet.onnx) |
 |  YOLOX-X | 99.1M | 281.9 | 640x640 |51.5 | [github](https://github.com/Megvii-BaseDetection/YOLOX/releases/download/0.1.1rc0/yolox_x.onnx) |
 
-
-### Convert Your Model to ONNX
+#### Convert Your Model to ONNX
 
 First, you should move to <YOLOX_HOME> by:
 ```shell
@@ -38,7 +48,7 @@ Notes:
     dummy_input = torch.randn(1, 3, exp.test_size[0], exp.test_size[1])
     ```
 
-2. Convert a standard YOLOX model by -f. When using -f, the above command is equivalent to:
+1. Convert a standard YOLOX model by -f. When using -f, the above command is equivalent to:
 
 ```shell
 python3 tools/export_onnx.py --output-name yolox_s.onnx -f exps/default/yolox_s.py -c yolox_s.pth
@@ -50,7 +60,7 @@ python3 tools/export_onnx.py --output-name yolox_s.onnx -f exps/default/yolox_s.
 python3 tools/export_onnx.py --output-name your_yolox.onnx -f exps/your_dir/your_yolox.py -c your_yolox.pth
 ```
 
-### ONNXRuntime Demo
+### Step3: ONNXRuntime Demo
 
 Step1.
 ```shell

demo/ONNXRuntime/onnx_inference.py

 #!/usr/bin/env python3
-# -*- coding: utf-8 -*-
 # Copyright (c) Megvii, Inc. and its affiliates.
 
 import argparse
@@ -51,11 +50,6 @@ def make_parser():
         default="640,640",
         help="Specify an input shape for inference.",
     )
-    parser.add_argument(
-        "--with_p6",
-        action="store_true",
-        help="Whether your model uses p6 in FPN/PAN.",
-    )
     return parser
 
 
@@ -70,7 +64,7 @@ if __name__ == '__main__':
 
     ort_inputs = {session.get_inputs()[0].name: img[None, :, :, :]}
     output = session.run(None, ort_inputs)
-    predictions = demo_postprocess(output[0], input_shape, p6=args.with_p6)[0]
+    predictions = demo_postprocess(output[0], input_shape)[0]
 
     boxes = predictions[:, :4]
     scores = predictions[:, 4:5] * predictions[:, 5:]

demo/OpenVINO/python/openvino_inference.py

@@ -128,7 +128,7 @@ def main():
     # ---------------------------Step 8. Process output--------------------------------------------------------------------
     res = res[out_blob]
 
-    predictions = demo_postprocess(res, (h, w), p6=False)[0]
+    predictions = demo_postprocess(res, (h, w))[0]
 
     boxes = predictions[:, :4]
     scores = predictions[:, 4, None] * predictions[:, 5:]

requirements.txt

@@ -9,10 +9,10 @@ thop
 ninja
 tabulate
 psutil
+tensorboard
 
 # verified versions
 # pycocotools corresponds to https://github.com/ppwwyyxx/cocoapi
 pycocotools>=2.0.2
-onnx==1.8.1
-onnxruntime==1.8.0
-onnx-simplifier==0.4.1
+onnx>=1.13.0
+onnx-simplifier==0.4.10

yolox/evaluators/voc_eval.py

@@ -107,7 +107,7 @@ def voc_eval(
     for imagename in imagenames:
         R = [obj for obj in recs[imagename] if obj["name"] == classname]
         bbox = np.array([x["bbox"] for x in R])
-        difficult = np.array([x["difficult"] for x in R]).astype(np.bool)
+        difficult = np.array([x["difficult"] for x in R]).astype(bool)
         det = [False] * len(R)
         npos = npos + sum(~difficult)
         class_recs[imagename] = {"bbox": bbox, "difficult": difficult, "det": det}

yolox/exp/default/__init__.py

@@ -4,8 +4,8 @@
 
 # This file is used for package installation and find default exp file
 
-import importlib
 import sys
+from importlib import abc, util
 from pathlib import Path
 
 _EXP_PATH = Path(__file__).resolve().parent.parent.parent.parent / "exps" / "default"
@@ -14,7 +14,7 @@ if _EXP_PATH.is_dir():
     # This is true only for in-place installation (pip install -e, setup.py develop),
     # where setup(package_dir=) does not work: https://github.com/pypa/setuptools/issues/230
 
-    class _ExpFinder(importlib.abc.MetaPathFinder):
+    class _ExpFinder(abc.MetaPathFinder):
         
         def find_spec(self, name, path, target=None):
             if not name.startswith("yolox.exp.default"):
@@ -23,6 +23,6 @@ if _EXP_PATH.is_dir():
             target_file = _EXP_PATH / project_name
             if not target_file.is_file():
                 return
-            return importlib.util.spec_from_file_location(name, target_file)
+            return util.spec_from_file_location(name, target_file)
 
     sys.meta_path.append(_ExpFinder())

yolox/tools/__init__.py

 #!/usr/bin/env python3
-# -*- coding:utf-8 -*-
 # Copyright (c) Megvii Inc. All rights reserved.
 
 # This file is used for package installation. Script of train/eval/export will be available.
 
-import importlib
 import sys
+from importlib import abc, util
 from pathlib import Path
 
 _TOOLS_PATH = Path(__file__).resolve().parent.parent.parent / "tools"
@@ -14,7 +13,7 @@ if _TOOLS_PATH.is_dir():
     # This is true only for in-place installation (pip install -e, setup.py develop),
     # where setup(package_dir=) does not work: https://github.com/pypa/setuptools/issues/230
 
-    class _PathFinder(importlib.abc.MetaPathFinder):
+    class _PathFinder(abc.MetaPathFinder):
 
         def find_spec(self, name, path, target=None):
             if not name.startswith("yolox.tools."):
@@ -23,6 +22,6 @@ if _TOOLS_PATH.is_dir():
             target_file = _TOOLS_PATH / project_name
             if not target_file.is_file():
                 return
-            return importlib.util.spec_from_file_location(name, target_file)
+            return util.spec_from_file_location(name, target_file)
 
     sys.meta_path.append(_PathFinder())

yolox/utils/demo_utils.py

 #!/usr/bin/env python3
-# -*- coding:utf-8 -*-
 # Copyright (c) Megvii Inc. All rights reserved.
 
 import os
@@ -97,14 +96,9 @@ def multiclass_nms_class_agnostic(boxes, scores, nms_thr, score_thr):
 
 
 def demo_postprocess(outputs, img_size, p6=False):
-
     grids = []
     expanded_strides = []
-
-    if not p6:
-        strides = [8, 16, 32]
-    else:
-        strides = [8, 16, 32, 64]
+    strides = [8, 16, 32] if not p6 else [8, 16, 32, 64]
 
     hsizes = [img_size[0] // stride for stride in strides]
     wsizes = [img_size[1] // stride for stride in strides]