training Issues！！ FileNotFoundError: [Errno 2] No such file or directory: 'xxx.xml'

[Wanrui-account]

Writing none VOC results file
Writing blue VOC results file
Writing red VOC results file
Writing white VOC results file
Writing yellow VOC results file
Eval IoU : 0.50
2021-09-26 16:57:23 | INFO | yolox.core.trainer:183 - Training of experiment is done and the best AP is 0.00
2021-09-26 16:57:23 | ERROR | yolox.core.launch:70 - An error has been caught in function 'launch', process 'MainProcess' (21384), thread 'MainThread' (20252):
Traceback (most recent call last):

File "tools\train.py", line 113, in
launch(
└ <function launch at 0x00000135393BF700>

File "D:\86186\anaconda\envs\yolov5\lib\site-packages\yolox-0.1.0-py3.8-win-amd64.egg\yolox\core\launch.py", line 70, in launch
main_func(*args)
│ └ (╒══════════════════╤════════════════════════════════════════════════════════════════════════════════════════════════════════...
└ <function main at 0x000001353AA1AC10>

File "tools\train.py", line 101, in main
trainer.train()
│ └ <function Trainer.train at 0x0000013539B1B550>
└ <yolox.core.trainer.Trainer object at 0x000001353AA336A0>

File "D:\86186\anaconda\envs\yolov5\lib\site-packages\yolox-0.1.0-py3.8-win-amd64.egg\yolox\core\trainer.py", line 70, in train
self.train_in_epoch()
│ └ <function Trainer.train_in_epoch at 0x000001353A9EC310>
└ <yolox.core.trainer.Trainer object at 0x000001353AA336A0>

File "D:\86186\anaconda\envs\yolov5\lib\site-packages\yolox-0.1.0-py3.8-win-amd64.egg\yolox\core\trainer.py", line 80, in train_in_epoch
self.after_epoch()
│ └ <function Trainer.after_epoch at 0x000001353A9FA550>
└ <yolox.core.trainer.Trainer object at 0x000001353AA336A0>

File "D:\86186\anaconda\envs\yolov5\lib\site-packages\yolox-0.1.0-py3.8-win-amd64.egg\yolox\core\trainer.py", line 210, in after_epoch
self.evaluate_and_save_model()
│ └ <function Trainer.evaluate_and_save_model at 0x000001353A9FA820>
└ <yolox.core.trainer.Trainer object at 0x000001353AA336A0>

File "D:\86186\anaconda\envs\yolov5\lib\site-packages\yolox-0.1.0-py3.8-win-amd64.egg\yolox\core\trainer.py", line 293, in evaluate_and_save_model
ap50_95, ap50, summary = self.exp.eval(evalmodel, self.evaluator, self.is_distributed)
│ │ │ │ │ │ │ └ False
│ │ │ │ │ │ └ <yolox.core.trainer.Trainer object at 0x000001353AA336A0>
│ │ │ │ │ └ <yolox.evaluators.voc_evaluator.VOCEvaluator object at 0x0000013545E9CC40>
│ │ │ │ └ <yolox.core.trainer.Trainer object at 0x000001353AA336A0>
│ │ │ └ YOLOX(
│ │ │ (backbone): YOLOPAFPN(
│ │ │ (backbone): CSPDarknet(
│ │ │ (stem): Focus(
│ │ │ (conv): BaseConv(
│ │ │ (conv): ...
│ │ └ <function Exp.eval at 0x000001353AA1D310>
│ └ ╒══════════════════╤═════════════════════════════════════════════════════════════════════════════════════════════════════════...
└ <yolox.core.trainer.Trainer object at 0x000001353AA336A0>

File "D:\86186\anaconda\envs\yolov5\lib\site-packages\yolox-0.1.0-py3.8-win-amd64.egg\yolox\exp\yolox_base.py", line 251, in eval
return evaluator.evaluate(model, is_distributed, half)
│ │ │ │ └ False
│ │ │ └ False
│ │ └ YOLOX(
│ │ (backbone): YOLOPAFPN(
│ │ (backbone): CSPDarknet(
│ │ (stem): Focus(
│ │ (conv): BaseConv(
│ │ (conv): ...
│ └ <function VOCEvaluator.evaluate at 0x000001353A9EC9D0>
└ <yolox.evaluators.voc_evaluator.VOCEvaluator object at 0x0000013545E9CC40>

File "D:\86186\anaconda\envs\yolov5\lib\site-packages\yolox-0.1.0-py3.8-win-amd64.egg\yolox\evaluators\voc_evaluator.py", line 114, in evaluate
eval_results = self.evaluate_prediction(data_list, statistics)
│ │ │ └ tensor([ 80.0733, 3.7156, 793.0000], device='cuda:0')
│ │ └ {0: (None, None, None), 1: (tensor([[ 240.1562, 310.3125, 453.1250, 484.6875],
│ │ [ -40.1562, 393.1250, 138.7500, ...
│ └ <function VOCEvaluator.evaluate_prediction at 0x000001353A9ECAF0>
└ <yolox.evaluators.voc_evaluator.VOCEvaluator object at 0x0000013545E9CC40>

File "D:\86186\anaconda\envs\yolov5\lib\site-packages\yolox-0.1.0-py3.8-win-amd64.egg\yolox\evaluators\voc_evaluator.py", line 182, in evaluate_prediction
mAP50, mAP70 = self.dataloader.dataset.evaluate_detections(all_boxes, tempdir)
│ │ │ │ │ └ 'C:\Users\86186\AppData\Local\Temp\tmpb0to9d64'
│ │ │ │ └ [[array([], shape=(0, 5), dtype=float32), array([], shape=(0, 5), dtype=float32), array([[3.0843750e+02, 3.0375000e+02, 4.303...
│ │ │ └ <function VOCDetection.evaluate_detections at 0x000001353A9FA040>
│ │ └ <yolox.data.datasets.voc.VOCDetection object at 0x000001353AA33100>
│ └ <torch.utils.data.dataloader.DataLoader object at 0x0000013545E9C940>
└ <yolox.evaluators.voc_evaluator.VOCEvaluator object at 0x0000013545E9CC40>

File "D:\86186\anaconda\envs\yolov5\lib\site-packages\yolox-0.1.0-py3.8-win-amd64.egg\yolox\data\datasets\voc.py", line 173, in evaluate_detections
mAP = self._do_python_eval(output_dir, iou)
│ │ │ └ 0.5
│ │ └ 'C:\Users\86186\AppData\Local\Temp\tmpb0to9d64'
│ └ <function VOCDetection._do_python_eval at 0x000001353A9FA1F0>
└ <yolox.data.datasets.voc.VOCDetection object at 0x000001353AA33100>

File "D:\86186\anaconda\envs\yolov5\lib\site-packages\yolox-0.1.0-py3.8-win-amd64.egg\yolox\data\datasets\voc.py", line 237, in _do_python_eval
rec, prec, ap = voc_eval(
└ <function voc_eval at 0x000001353A9EC8B0>

File "D:\86186\anaconda\envs\yolov5\lib\site-packages\yolox-0.1.0-py3.8-win-amd64.egg\yolox\evaluators\voc_eval.py", line 93, in voc_eval
recs[imagename] = parse_rec(annopath.format(imagename))
│ │ │ │ │ └ '02804'
│ │ │ │ └ <method 'format' of 'str' objects>
│ │ │ └ '{:s}.xml'
│ │ └ <function parse_rec at 0x000001353A9EC3A0>
│ └ '02804'
└ {}

File "D:\86186\anaconda\envs\yolov5\lib\site-packages\yolox-0.1.0-py3.8-win-amd64.egg\yolox\evaluators\voc_eval.py", line 17, in parse_rec
tree = ET.parse(filename)
│ │ └ '02804.xml'
│ └ <function parse at 0x0000013539320A60>
└ <module 'xml.etree.ElementTree' from 'D:\86186\anaconda\envs\yolov5\lib\xml\etree\ElementTree.py'>

File "D:\86186\anaconda\envs\yolov5\lib\xml\etree\ElementTree.py", line 1202, in parse
tree.parse(source, parser)
│ │ │ └ None
│ │ └ '02804.xml'
│ └ <function ElementTree.parse at 0x000001353931FAF0>
└ <xml.etree.ElementTree.ElementTree object at 0x000001356E8DCD30>

File "D:\86186\anaconda\envs\yolov5\lib\xml\etree\ElementTree.py", line 584, in parse
source = open(source, "rb")
└ '02804.xml'

FileNotFoundError: [Errno 2] No such file or directory: '02804.xml'

[MangoloD]

Modify the _do_python_eval method under yolox/data/datasets/voc.py

annopath = os.path.join(rootpath, "Annotations", "{:s}.xml")

to

annopath = os.path.join(rootpath, "Annotations", "{}.xml")