repo stringlengths 2 99 | file stringlengths 13 225 | code stringlengths 0 18.3M | file_length int64 0 18.3M | avg_line_length float64 0 1.36M | max_line_length int64 0 4.26M | extension_type stringclasses 1
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mmyolo | mmyolo-main/tools/model_converters/convert_kd_ckpt_to_student.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
from pathlib import Path
import torch
def parse_args():
parser = argparse.ArgumentParser(
description='Convert KD checkpoint to student-only checkpoint')
parser.add_argument('checkpoint', help='input checkpoint filename')
parser.add_... | 1,412 | 27.836735 | 71 | py |
mmyolo | mmyolo-main/tools/model_converters/yolov7_to_mmyolo.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os.path as osp
from collections import OrderedDict
import torch
convert_dict_tiny = {
# stem
'model.0': 'backbone.stem.0',
'model.1': 'backbone.stem.1',
# stage1 TinyDownSampleBlock
'model.2': 'backbone.stage1.0.short_conv',
... | 50,022 | 44.724863 | 78 | py |
mmyolo | mmyolo-main/tools/model_converters/yolov5_to_mmyolo.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
from collections import OrderedDict
import torch
convert_dict_p5 = {
'model.0': 'backbone.stem',
'model.1': 'backbone.stage1.0',
'model.2': 'backbone.stage1.1',
'model.3': 'backbone.stage2.0',
'model.4': 'backbone.stage2.1',
'mode... | 4,176 | 32.95935 | 75 | py |
mmyolo | mmyolo-main/tools/dataset_converters/labelme2coco.py | # Copyright (c) OpenMMLab. All rights reserved.
"""This script helps to convert labelme-style dataset to the coco format.
Usage:
$ python labelme2coco.py \
--img-dir /path/to/images \
--labels-dir /path/to/labels \
--out /path/to/coco_instances.json \
... | 10,676 | 31.751534 | 79 | py |
mmyolo | mmyolo-main/tools/dataset_converters/balloon2coco.py | import os.path as osp
import mmcv
import mmengine
def convert_balloon_to_coco(ann_file, out_file, image_prefix):
data_infos = mmengine.load(ann_file)
annotations = []
images = []
obj_count = 0
for idx, v in enumerate(mmengine.track_iter_progress(data_infos.values())):
filename = v['file... | 1,850 | 30.372881 | 79 | py |
mmyolo | mmyolo-main/tools/dataset_converters/yolo2coco.py | """This script helps to convert yolo-style dataset to the coco format.
Usage:
$ python yolo2coco.py /path/to/dataset # image_dir
Note:
1. Before running this script, please make sure the root directory
of your dataset is formatted in the following struction:
.
└── $ROOT_PATH
├── classes.tx... | 9,114 | 33.396226 | 79 | py |
mmyolo | mmyolo-main/tools/dataset_converters/dota/dota_split.py | # Copyright (c) OpenMMLab. All rights reserved.
# Reference: https://github.com/jbwang1997/BboxToolkit
import argparse
import codecs
import datetime
import itertools
import os
import os.path as osp
import time
from functools import partial, reduce
from math import ceil
from multiprocessing import Manager, Pool
from ty... | 20,591 | 33.092715 | 79 | py |
mmyolo | mmyolo-main/tools/analysis_tools/benchmark.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import copy
import os
import time
import torch
from mmengine import Config, DictAction
from mmengine.dist import get_world_size, init_dist
from mmengine.logging import MMLogger, print_log
from mmengine.registry import init_default_scope
from mmengine.runn... | 6,460 | 33.185185 | 79 | py |
mmyolo | mmyolo-main/tools/analysis_tools/optimize_anchors.py | # Copyright (c) OpenMMLab. All rights reserved.
"""Optimize anchor settings on a specific dataset.
This script provides three methods to optimize YOLO anchors including k-means
anchor cluster, differential evolution and v5-k-means. You can use
``--algorithm k-means``, ``--algorithm differential_evolution`` and
``--alg... | 24,296 | 36.49537 | 79 | py |
mmyolo | mmyolo-main/tools/analysis_tools/dataset_analysis.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os.path
from statistics import median
import matplotlib.patches as mpatches
import matplotlib.pyplot as plt
import numpy as np
from mmengine.config import Config
from mmengine.registry import init_default_scope
from mmengine.utils import ProgressBa... | 18,087 | 35.248497 | 79 | py |
mmyolo | mmyolo-main/tools/analysis_tools/get_flops.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import tempfile
from pathlib import Path
import torch
from mmdet.registry import MODELS
from mmengine.analysis import get_model_complexity_info
from mmengine.config import Config, DictAction
from mmengine.logging import MMLogger
from mmengine.model import... | 4,085 | 31.951613 | 78 | py |
mmyolo | mmyolo-main/tools/analysis_tools/browse_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os.path as osp
import sys
from typing import Tuple
import cv2
import mmcv
import numpy as np
from mmdet.models.utils import mask2ndarray
from mmdet.structures.bbox import BaseBoxes
from mmengine.config import Config, DictAction
from mmengine.datase... | 9,343 | 34.664122 | 79 | py |
mmyolo | mmyolo-main/tools/analysis_tools/confusion_matrix.py | import argparse
import os
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.ticker import MultipleLocator
from mmcv.ops import nms
from mmdet.evaluation import bbox_overlaps
from mmdet.utils import replace_cfg_vals, update_data_root
from mmengine import Config, DictAction
from mmengine.fileio import l... | 9,903 | 35.145985 | 79 | py |
mmyolo | mmyolo-main/tools/analysis_tools/browse_coco_json.py | import argparse
import os.path as osp
import cv2
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.collections import PatchCollection
from matplotlib.patches import Polygon
from pycocotools.coco import COCO
def show_coco_json(args):
if args.data_root is not None:
coco = COCO(osp.join(arg... | 4,424 | 28.898649 | 78 | py |
mmyolo | mmyolo-main/tools/analysis_tools/vis_scheduler.py | # Copyright (c) OpenMMLab. All rights reserved.
"""Hyper-parameter Scheduler Visualization.
This tool aims to help the user to check
the hyper-parameter scheduler of the optimizer(without training),
which support the "learning rate", "momentum", and "weight_decay".
Example:
```shell
python tools/analysis_tools/vis_sc... | 9,574 | 31.347973 | 115 | py |
mmyolo | mmyolo-main/projects/example_project/dummy/dummy_yolov5cspdarknet.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmyolo.models import YOLOv5CSPDarknet
from mmyolo.registry import MODELS
@MODELS.register_module()
class DummyYOLOv5CSPDarknet(YOLOv5CSPDarknet):
"""Implements a dummy YOLOv5CSPDarknet wrapper for demonstration purpose.
Args:
**kwargs: All the argu... | 474 | 26.941176 | 77 | py |
mmyolo | mmyolo-main/projects/example_project/dummy/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .dummy_yolov5cspdarknet import DummyYOLOv5CSPDarknet
__all__ = ['DummyYOLOv5CSPDarknet']
| 143 | 27.8 | 57 | py |
mmyolo | mmyolo-main/projects/example_project/configs/yolov5_s_dummy-backbone_v61_syncbn_8xb16-300e_coco.py | _base_ = '../../../configs/yolov5/yolov5_s-v61_syncbn_8xb16-300e_coco.py'
custom_imports = dict(imports=['projects.example_project.dummy'])
_base_.model.backbone.type = 'DummyYOLOv5CSPDarknet'
| 195 | 31.666667 | 73 | py |
mmyolo | mmyolo-main/projects/assigner_visualization/assigner_visualization.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
import os.path as osp
import sys
import warnings
import mmcv
import numpy as np
import torch
from mmengine import ProgressBar
from mmengine.config import Config, DictAction
from mmengine.dataset import COLLATE_FUNCTIONS
from mmengine.runner.chec... | 6,558 | 35.848315 | 79 | py |
mmyolo | mmyolo-main/projects/assigner_visualization/detectors/yolo_detector_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Union
from mmyolo.models import YOLODetector
from mmyolo.registry import MODELS
from projects.assigner_visualization.dense_heads import (RTMHeadAssigner,
YOLOv7HeadAssigner,
... | 1,408 | 39.257143 | 79 | py |
mmyolo | mmyolo-main/projects/assigner_visualization/detectors/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from projects.assigner_visualization.detectors.yolo_detector_assigner import \
YOLODetectorAssigner
__all__ = ['YOLODetectorAssigner']
| 188 | 30.5 | 78 | py |
mmyolo | mmyolo-main/projects/assigner_visualization/configs/rtmdet_s_syncbn_fast_8xb32-300e_coco_assignervisualization.py | _base_ = ['../../../configs/rtmdet/rtmdet_s_syncbn_fast_8xb32-300e_coco.py']
custom_imports = dict(imports=[
'projects.assigner_visualization.detectors',
'projects.assigner_visualization.dense_heads'
])
model = dict(
type='YOLODetectorAssigner', bbox_head=dict(type='RTMHeadAssigner'))
| 300 | 29.1 | 76 | py |
mmyolo | mmyolo-main/projects/assigner_visualization/configs/yolov7_tiny_syncbn_fast_8xb16-300e_coco_assignervisualization.py | _base_ = ['../../../configs/yolov7/yolov7_tiny_syncbn_fast_8x16b-300e_coco.py']
custom_imports = dict(imports=[
'projects.assigner_visualization.detectors',
'projects.assigner_visualization.dense_heads'
])
model = dict(
type='YOLODetectorAssigner', bbox_head=dict(type='YOLOv7HeadAssigner'))
| 306 | 29.7 | 79 | py |
mmyolo | mmyolo-main/projects/assigner_visualization/configs/yolov8_s_syncbn_fast_8xb16-500e_coco_assignervisualization.py | _base_ = ['../../../configs/yolov8/yolov8_s_syncbn_fast_8xb16-500e_coco.py']
custom_imports = dict(imports=[
'projects.assigner_visualization.detectors',
'projects.assigner_visualization.dense_heads'
])
model = dict(
type='YOLODetectorAssigner', bbox_head=dict(type='YOLOv8HeadAssigner'))
| 303 | 29.4 | 76 | py |
mmyolo | mmyolo-main/projects/assigner_visualization/configs/yolov5_s-v61_syncbn_fast_8xb16-300e_coco_assignervisualization.py | _base_ = [
'../../../configs/yolov5/yolov5_s-v61_syncbn_fast_8xb16-300e_coco.py'
]
custom_imports = dict(imports=[
'projects.assigner_visualization.detectors',
'projects.assigner_visualization.dense_heads'
])
model = dict(
type='YOLODetectorAssigner', bbox_head=dict(type='YOLOv5HeadAssigner'))
| 313 | 25.166667 | 75 | py |
mmyolo | mmyolo-main/projects/assigner_visualization/visualization/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .assigner_visualizer import YOLOAssignerVisualizer
__all__ = ['YOLOAssignerVisualizer']
| 142 | 27.6 | 55 | py |
mmyolo | mmyolo-main/projects/assigner_visualization/visualization/assigner_visualizer.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
from typing import List, Union
import mmcv
import numpy as np
import torch
from mmdet.structures.bbox import HorizontalBoxes
from mmdet.visualization import DetLocalVisualizer
from mmdet.visualization.palette import _get_adaptive_scales, get_palette
from mmen... | 13,691 | 40.87156 | 154 | py |
mmyolo | mmyolo-main/projects/assigner_visualization/dense_heads/yolov5_head_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Sequence, Union
import torch
from mmdet.models.utils import unpack_gt_instances
from mmengine.structures import InstanceData
from torch import Tensor
from mmyolo.models import YOLOv5Head
from mmyolo.registry import MODELS
@MODELS.register_module()
c... | 8,364 | 43.259259 | 79 | py |
mmyolo | mmyolo-main/projects/assigner_visualization/dense_heads/yolov8_head_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Union
import torch
from mmdet.utils import InstanceList
from torch import Tensor
from mmyolo.models import YOLOv8Head
from mmyolo.models.utils import gt_instances_preprocess
from mmyolo.registry import MODELS
@MODELS.register_module()
class YO... | 7,515 | 40.524862 | 79 | py |
mmyolo | mmyolo-main/projects/assigner_visualization/dense_heads/yolov7_head_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Union
import torch
from mmdet.utils import InstanceList
from torch import Tensor
from mmyolo.models import YOLOv7Head
from mmyolo.registry import MODELS
@MODELS.register_module()
class YOLOv7HeadAssigner(YOLOv7Head):
def assign_by_gt_and_... | 6,836 | 41.73125 | 79 | py |
mmyolo | mmyolo-main/projects/assigner_visualization/dense_heads/rtmdet_head_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Union
import torch
from mmdet.structures.bbox import distance2bbox
from mmdet.utils import InstanceList
from torch import Tensor
from mmyolo.models import RTMDetHead
from mmyolo.models.utils import gt_instances_preprocess
from mmyolo.registry im... | 7,517 | 41.715909 | 79 | py |
mmyolo | mmyolo-main/projects/assigner_visualization/dense_heads/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .rtmdet_head_assigner import RTMHeadAssigner
from .yolov5_head_assigner import YOLOv5HeadAssigner
from .yolov7_head_assigner import YOLOv7HeadAssigner
from .yolov8_head_assigner import YOLOv8HeadAssigner
__all__ = [
'YOLOv5HeadAssigner', 'YOLOv7HeadAssigner', 'Y... | 364 | 32.181818 | 69 | py |
mmyolo | mmyolo-main/projects/easydeploy/backbone/common.py | import torch
import torch.nn as nn
from torch import Tensor
class DeployC2f(nn.Module):
def __init__(self, *args, **kwargs):
super().__init__()
def forward(self, x: Tensor) -> Tensor:
x_main = self.main_conv(x)
x_main = [x_main, x_main[:, self.mid_channels:, ...]]
x_main.exte... | 444 | 25.176471 | 67 | py |
mmyolo | mmyolo-main/projects/easydeploy/backbone/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .common import DeployC2f
from .focus import DeployFocus, GConvFocus, NcnnFocus
__all__ = ['DeployFocus', 'NcnnFocus', 'GConvFocus', 'DeployC2f']
| 199 | 32.333333 | 65 | py |
mmyolo | mmyolo-main/projects/easydeploy/backbone/focus.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
class DeployFocus(nn.Module):
def __init__(self, orin_Focus: nn.Module):
super().__init__()
self.__dict__.update(orin_Focus.__dict__)
def forward(self, ... | 2,834 | 34.4375 | 79 | py |
mmyolo | mmyolo-main/projects/easydeploy/tools/build_engine.py | import argparse
from pathlib import Path
from typing import List, Optional, Tuple, Union
try:
import tensorrt as trt
except Exception:
trt = None
import warnings
import numpy as np
import torch
warnings.filterwarnings(action='ignore', category=DeprecationWarning)
class EngineBuilder:
def __init__(
... | 5,007 | 35.554745 | 79 | py |
mmyolo | mmyolo-main/projects/easydeploy/tools/export.py | import argparse
import os
import warnings
from io import BytesIO
import onnx
import torch
from mmdet.apis import init_detector
from mmengine.config import ConfigDict
from mmengine.utils.path import mkdir_or_exist
from mmyolo.utils import register_all_modules
from projects.easydeploy.model import DeployModel
warnings... | 4,623 | 31.335664 | 79 | py |
mmyolo | mmyolo-main/projects/easydeploy/tools/image-demo.py | # Copyright (c) OpenMMLab. All rights reserved.
from projects.easydeploy.model import ORTWrapper, TRTWrapper # isort:skip
import os
import random
from argparse import ArgumentParser
import cv2
import mmcv
import numpy as np
import torch
from mmcv.transforms import Compose
from mmdet.utils import get_test_pipeline_cfg... | 4,968 | 31.477124 | 78 | py |
mmyolo | mmyolo-main/projects/easydeploy/bbox_code/bbox_coder.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional
import torch
from torch import Tensor
def yolov5_bbox_decoder(priors: Tensor, bbox_preds: Tensor,
stride: Tensor) -> Tensor:
bbox_preds = bbox_preds.sigmoid()
x_center = (priors[..., 0] + priors[..., 2]) * 0.... | 1,608 | 33.234043 | 70 | py |
mmyolo | mmyolo-main/projects/easydeploy/bbox_code/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .bbox_coder import (rtmdet_bbox_decoder, yolov5_bbox_decoder,
yolox_bbox_decoder)
__all__ = ['yolov5_bbox_decoder', 'rtmdet_bbox_decoder', 'yolox_bbox_decoder']
| 240 | 39.166667 | 78 | py |
mmyolo | mmyolo-main/projects/easydeploy/model/backendwrapper.py | import warnings
from collections import namedtuple
from functools import partial
from pathlib import Path
from typing import List, Optional, Union
import numpy as np
import onnxruntime
try:
import tensorrt as trt
except Exception:
trt = None
import torch
warnings.filterwarnings(action='ignore', category=Depr... | 6,885 | 32.921182 | 78 | py |
mmyolo | mmyolo-main/projects/easydeploy/model/model.py | # Copyright (c) OpenMMLab. All rights reserved.
from functools import partial
from typing import List, Optional
import torch
import torch.nn as nn
from mmdet.models.backbones.csp_darknet import Focus
from mmengine.config import ConfigDict
from torch import Tensor
from mmyolo.models import RepVGGBlock
from mmyolo.mode... | 5,871 | 37.887417 | 79 | py |
mmyolo | mmyolo-main/projects/easydeploy/model/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .backendwrapper import ORTWrapper, TRTWrapper
from .model import DeployModel
__all__ = ['DeployModel', 'TRTWrapper', 'ORTWrapper']
| 185 | 30 | 53 | py |
mmyolo | mmyolo-main/projects/easydeploy/nms/ort_nms.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from torch import Tensor
_XYWH2XYXY = torch.tensor([[1.0, 0.0, 1.0, 0.0], [0.0, 1.0, 0.0, 1.0],
[-0.5, 0.0, 0.5, 0.0], [0.0, -0.5, 0.0, 0.5]],
dtype=torch.float32)
def select_nms_index(scores: Tensor,
... | 4,445 | 35.146341 | 79 | py |
mmyolo | mmyolo-main/projects/easydeploy/nms/trt_nms.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from torch import Tensor
_XYWH2XYXY = torch.tensor([[1.0, 0.0, 1.0, 0.0], [0.0, 1.0, 0.0, 1.0],
[-0.5, 0.0, 0.5, 0.0], [0.0, -0.5, 0.0, 0.5]],
dtype=torch.float32)
class TRTEfficientNMSop(torch.autograd.... | 8,045 | 34.444934 | 78 | py |
mmyolo | mmyolo-main/projects/easydeploy/nms/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .ort_nms import onnx_nms
from .trt_nms import batched_nms, efficient_nms
__all__ = ['efficient_nms', 'batched_nms', 'onnx_nms']
| 182 | 29.5 | 54 | py |
mmyolo | mmyolo-main/projects/misc/custom_dataset/yolov5_s-v61_syncbn_fast_1xb32-100e_cat.py | _base_ = '../yolov5/yolov5_s-v61_syncbn_fast_8xb16-300e_coco.py'
max_epochs = 100
data_root = './data/cat/'
# data_root = '/root/workspace/mmyolo/data/cat/' # Docker
work_dir = './work_dirs/yolov5_s-v61_syncbn_fast_1xb32-100e_cat'
load_from = 'https://download.openmmlab.com/mmyolo/v0/yolov5/yolov5_s-v61_syncbn_fast... | 2,347 | 29.493506 | 180 | py |
mmyolo | mmyolo-main/projects/misc/custom_dataset/yolov6_s_syncbn_fast_1xb32-100e_cat.py | _base_ = '../yolov6/yolov6_s_syncbn_fast_8xb32-400e_coco.py'
max_epochs = 100
data_root = './data/cat/'
work_dir = './work_dirs/yolov6_s_syncbn_fast_1xb32-100e_cat'
load_from = 'https://download.openmmlab.com/mmyolo/v0/yolov6/yolov6_s_syncbn_fast_8xb32-400e_coco/yolov6_s_syncbn_fast_8xb32-400e_coco_20221102_203035-9... | 2,525 | 28.372093 | 172 | py |
mmyolo | mmyolo-main/projects/misc/custom_dataset/yolov7_tiny_syncbn_fast_1xb32-100e_cat.py | _base_ = '../yolov7/yolov7_tiny_syncbn_fast_8x16b-300e_coco.py'
max_epochs = 100
data_root = './data/cat/'
work_dir = './work_dirs/yolov7_tiny_syncbn_fast_1xb32-100e_cat'
load_from = 'https://download.openmmlab.com/mmyolo/v0/yolov7/yolov7_tiny_syncbn_fast_8x16b-300e_coco/yolov7_tiny_syncbn_fast_8x16b-300e_coco_20221... | 2,360 | 28.886076 | 178 | py |
mmyolo | mmyolo-main/.dev_scripts/gather_models.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import glob
import os
import os.path as osp
import shutil
import subprocess
import time
from collections import OrderedDict
import torch
import yaml
from mmengine.config import Config
from mmengine.fileio import dump
from mmengine.utils import mkdir_or_ex... | 11,017 | 34.314103 | 79 | py |
mmyolo | mmyolo-main/.dev_scripts/print_registers.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import importlib
import os
import os.path as osp
import pkgutil
import sys
import tempfile
from multiprocessing import Pool
from pathlib import Path
import numpy as np
import pandas as pd
# host_addr = 'https://gitee.com/open-mmlab'
host_addr = 'https://... | 16,298 | 35.300668 | 78 | py |
mmyolo | mmyolo-main/tests/test_engine/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
| 48 | 23.5 | 47 | py |
mmyolo | mmyolo-main/tests/test_engine/test_hooks/test_yolox_mode_switch_hook.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
from unittest.mock import Mock
import torch
from mmengine.config import Config
from mmengine.runner import Runner
from torch.utils.data import Dataset
from mmyolo.engine.hooks import YOLOXModeSwitchHook
from mmyolo.utils import register_all... | 1,810 | 25.632353 | 75 | py |
mmyolo | mmyolo-main/tests/test_engine/test_hooks/test_switch_to_deploy_hook.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
from unittest.mock import Mock
from mmyolo.engine.hooks import SwitchToDeployHook
from mmyolo.models import RepVGGBlock
from mmyolo.utils import register_all_modules
register_all_modules()
class TestSwitchToDeployHook(TestCase):
def ... | 603 | 23.16 | 50 | py |
mmyolo | mmyolo-main/tests/test_engine/test_hooks/test_yolov5_param_scheduler_hook.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
from unittest.mock import Mock
import torch
from mmengine.config import Config
from mmengine.optim import build_optim_wrapper
from mmengine.runner import Runner
from torch import nn
from torch.utils.data import Dataset
from mmyolo.engine.ho... | 3,619 | 27.96 | 77 | py |
mmyolo | mmyolo-main/tests/test_engine/test_optimizers/test_yolov5_optim_constructor.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
from unittest import TestCase
import torch
import torch.nn as nn
from mmengine.optim import build_optim_wrapper
from mmyolo.engine import YOLOv5OptimizerConstructor
from mmyolo.utils import register_all_modules
register_all_modules()
class ExampleModel(n... | 2,934 | 34.792683 | 79 | py |
mmyolo | mmyolo-main/tests/test_engine/test_optimizers/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
| 48 | 23.5 | 47 | py |
mmyolo | mmyolo-main/tests/test_engine/test_optimizers/test_yolov7_optim_wrapper_constructor.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
from unittest import TestCase
import torch
import torch.nn as nn
from mmengine.optim import build_optim_wrapper
from mmyolo.engine import YOLOv7OptimWrapperConstructor
from mmyolo.utils import register_all_modules
register_all_modules()
class ExampleMode... | 2,958 | 35.085366 | 79 | py |
mmyolo | mmyolo-main/tests/test_deploy/conftest.py | # Copyright (c) OpenMMLab. All rights reserved.
import pytest
@pytest.fixture(autouse=True)
def init_test():
# init default scope
from mmdet.utils import register_all_modules as register_det
from mmyolo.utils import register_all_modules as register_yolo
register_yolo(True)
register_det(False)
| 318 | 21.785714 | 66 | py |
mmyolo | mmyolo-main/tests/test_deploy/test_object_detection.py | # Copyright (c) OpenMMLab. All rights reserved.
import os
from tempfile import NamedTemporaryFile, TemporaryDirectory
import numpy as np
import pytest
import torch
from mmengine import Config
try:
import importlib
importlib.import_module('mmdeploy')
except ImportError:
pytest.skip('mmdeploy is not install... | 3,052 | 30.474227 | 71 | py |
mmyolo | mmyolo-main/tests/test_deploy/test_mmyolo_models.py | # Copyright (c) OpenMMLab. All rights reserved.
import os
import random
import numpy as np
import pytest
import torch
from mmengine import Config
try:
import importlib
importlib.import_module('mmdeploy')
except ImportError:
pytest.skip('mmdeploy is not installed.', allow_module_level=True)
from mmdeploy.... | 5,546 | 32.415663 | 77 | py |
mmyolo | mmyolo-main/tests/test_deploy/data/model.py | # Copyright (c) OpenMMLab. All rights reserved.
# model settings
default_scope = 'mmyolo'
default_hooks = dict(
timer=dict(type='IterTimerHook'),
logger=dict(type='LoggerHook', interval=50),
param_scheduler=dict(type='ParamSchedulerHook'),
checkpoint=dict(type='CheckpointHook', interval=1),
sampler... | 7,658 | 28.011364 | 75 | py |
mmyolo | mmyolo-main/tests/test_models/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
| 48 | 23.5 | 47 | py |
mmyolo | mmyolo-main/tests/test_models/test_layers/test_ema.py | # Copyright (c) OpenMMLab. All rights reserved.
import itertools
import math
from unittest import TestCase
import torch
import torch.nn as nn
from mmengine.testing import assert_allclose
from mmyolo.models.layers import ExpMomentumEMA
class TestEMA(TestCase):
def test_exp_momentum_ema(self):
model = nn... | 3,634 | 37.263158 | 79 | py |
mmyolo | mmyolo-main/tests/test_models/test_layers/test_yolo_bricks.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmyolo.models.layers import SPPFBottleneck
from mmyolo.utils import register_all_modules
register_all_modules()
class TestSPPFBottleneck(TestCase):
def test_forward(self):
input_tensor = torch.randn((1, 3,... | 1,111 | 30.771429 | 69 | py |
mmyolo | mmyolo-main/tests/test_models/test_layers/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
| 48 | 23.5 | 47 | py |
mmyolo | mmyolo-main/tests/test_models/test_backbone/test_csp_resnet.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import pytest
import torch
from torch.nn.modules.batchnorm import _BatchNorm
from mmyolo.models import PPYOLOECSPResNet
from mmyolo.utils import register_all_modules
from .utils import check_norm_state, is_norm
register_all_modules()
cla... | 4,162 | 35.517544 | 78 | py |
mmyolo | mmyolo-main/tests/test_models/test_backbone/test_efficient_rep.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import pytest
import torch
from torch.nn.modules.batchnorm import _BatchNorm
from mmyolo.models.backbones import YOLOv6CSPBep, YOLOv6EfficientRep
from mmyolo.utils import register_all_modules
from .utils import check_norm_state, is_norm
re... | 7,688 | 36.876847 | 79 | py |
mmyolo | mmyolo-main/tests/test_models/test_backbone/utils.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.models.backbones.res2net import Bottle2neck
from mmdet.models.backbones.resnet import BasicBlock, Bottleneck
from mmdet.models.backbones.resnext import Bottleneck as BottleneckX
from mmdet.models.layers import SimplifiedBasicBlock
from torch.nn.modules import G... | 1,026 | 31.09375 | 77 | py |
mmyolo | mmyolo-main/tests/test_models/test_backbone/test_yolov7_backbone.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import pytest
import torch
from torch.nn.modules.batchnorm import _BatchNorm
from mmyolo.models.backbones import YOLOv7Backbone
from mmyolo.utils import register_all_modules
from .utils import check_norm_state
register_all_modules()
clas... | 5,705 | 35.812903 | 77 | py |
mmyolo | mmyolo-main/tests/test_models/test_backbone/test_csp_darknet.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import pytest
import torch
from parameterized import parameterized
from torch.nn.modules.batchnorm import _BatchNorm
from mmyolo.models.backbones import (YOLOv5CSPDarknet, YOLOv8CSPDarknet,
YOLOXCSPDarkn... | 4,481 | 36.35 | 78 | py |
mmyolo | mmyolo-main/tests/test_models/test_backbone/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
| 48 | 23.5 | 47 | py |
mmyolo | mmyolo-main/tests/test_models/test_data_preprocessor/test_data_preprocessor.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmdet.structures import DetDataSample
from mmengine import MessageHub
from mmyolo.models import PPYOLOEBatchRandomResize, PPYOLOEDetDataPreprocessor
from mmyolo.models.data_preprocessors import (YOLOv5DetDataPreprocessor,
... | 5,829 | 36.133758 | 79 | py |
mmyolo | mmyolo-main/tests/test_models/test_data_preprocessor/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
| 48 | 23.5 | 47 | py |
mmyolo | mmyolo-main/tests/test_models/test_utils/test_misc.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import pytest
import torch
from mmengine.structures import InstanceData
from torch import Tensor
from mmyolo.models.utils import gt_instances_preprocess
from mmyolo.utils import register_all_modules
register_all_modules()
class TestGtInstancesPrepro... | 1,330 | 35.972222 | 77 | py |
mmyolo | mmyolo-main/tests/test_models/test_utils/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
| 48 | 23.5 | 47 | py |
mmyolo | mmyolo-main/tests/test_models/test_necks/test_ppyoloe_csppan.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmyolo.models import PPYOLOECSPPAFPN
from mmyolo.utils import register_all_modules
register_all_modules()
class TestPPYOLOECSPPAFPN(TestCase):
def test_forward(self):
s = 64
in_channels = [8, 16, 32... | 1,741 | 31.259259 | 71 | py |
mmyolo | mmyolo-main/tests/test_models/test_necks/test_cspnext_pafpn.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmyolo.models.necks import CSPNeXtPAFPN
from mmyolo.utils import register_all_modules
register_all_modules()
class TestCSPNeXtPAFPN(TestCase):
def test_forward(self):
s = 64
in_channels = [8, 16, 32... | 1,159 | 29.526316 | 79 | py |
mmyolo | mmyolo-main/tests/test_models/test_necks/test_yolov8_pafpn.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmyolo.models import YOLOv8PAFPN
from mmyolo.utils import register_all_modules
register_all_modules()
class TestYOLOv8PAFPN(TestCase):
def test_YOLOv8PAFPN_forward(self):
s = 64
in_channels = [8, 16... | 879 | 29.344828 | 78 | py |
mmyolo | mmyolo-main/tests/test_models/test_necks/test_yolox_pafpn.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmyolo.models.necks import YOLOXPAFPN
from mmyolo.utils import register_all_modules
register_all_modules()
class TestYOLOXPAFPN(TestCase):
def test_forward(self):
s = 64
in_channels = [8, 16, 32]
... | 858 | 28.62069 | 77 | py |
mmyolo | mmyolo-main/tests/test_models/test_necks/test_yolov7_pafpn.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmcv.cnn import ConvModule
from mmyolo.models.necks import YOLOv7PAFPN
from mmyolo.utils import register_all_modules
register_all_modules()
class TestYOLOv7PAFPN(TestCase):
def test_forward(self):
# test P5... | 2,718 | 32.9875 | 78 | py |
mmyolo | mmyolo-main/tests/test_models/test_necks/test_yolov6_pafpn.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmyolo.models.necks import YOLOv6CSPRepPAFPN, YOLOv6RepPAFPN
from mmyolo.utils import register_all_modules
register_all_modules()
class TestYOLOv6PAFPN(TestCase):
def test_YOLOv6RepPAFP_forward(self):
s = 6... | 1,593 | 32.914894 | 71 | py |
mmyolo | mmyolo-main/tests/test_models/test_necks/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
| 48 | 23.5 | 47 | py |
mmyolo | mmyolo-main/tests/test_models/test_necks/test_yolov5_pafpn.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmyolo.models.necks import YOLOv5PAFPN
from mmyolo.utils import register_all_modules
register_all_modules()
class TestYOLOv5PAFPN(TestCase):
def test_forward(self):
s = 64
in_channels = [8, 16, 32]
... | 873 | 29.137931 | 78 | py |
mmyolo | mmyolo-main/tests/test_models/test_dense_heads/test_ppyoloe_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine import ConfigDict, MessageHub
from mmengine.config import Config
from mmengine.model import bias_init_with_prob
from mmengine.testing import assert_allclose
from mmyolo.models import PPYOLOEHead
from mmyolo.utils ... | 7,851 | 37.116505 | 78 | py |
mmyolo | mmyolo-main/tests/test_models/test_dense_heads/test_yolov7_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.config import Config
from mmengine.structures import InstanceData
from mmyolo.models.dense_heads import YOLOv7Head
from mmyolo.utils import register_all_modules
register_all_modules()
# TODO: Test YOLOv7p6HeadM... | 5,521 | 36.821918 | 79 | py |
mmyolo | mmyolo-main/tests/test_models/test_dense_heads/test_yolov5_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.config import Config
from mmengine.structures import InstanceData
from mmyolo.models.dense_heads import YOLOv5Head
from mmyolo.utils import register_all_modules
register_all_modules()
class TestYOLOv5Head(TestC... | 9,871 | 40.654008 | 79 | py |
mmyolo | mmyolo-main/tests/test_models/test_dense_heads/test_yolox_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.config import Config
from mmengine.model import bias_init_with_prob
from mmengine.testing import assert_allclose
from mmyolo.models.dense_heads import YOLOXHead
from mmyolo.utils import register_all_modules
regis... | 6,200 | 37.75625 | 79 | py |
mmyolo | mmyolo-main/tests/test_models/test_dense_heads/test_yolov6_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.config import Config
from mmyolo.models.dense_heads import YOLOv6Head
from mmyolo.utils import register_all_modules
register_all_modules()
class TestYOLOv6Head(TestCase):
def setUp(self):
self.head... | 1,713 | 26.645161 | 74 | py |
mmyolo | mmyolo-main/tests/test_models/test_dense_heads/test_rotated_rtmdet_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import pytest
import torch
from mmengine.config import Config
from mmengine.structures import InstanceData
from mmyolo.models.dense_heads import RTMDetRotatedHead
from mmyolo.utils import register_all_modules
register_all_modules()
class... | 10,370 | 38.135849 | 79 | py |
mmyolo | mmyolo-main/tests/test_models/test_dense_heads/test_yolov8_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine import ConfigDict
from mmengine.config import Config
from mmyolo.models import YOLOv8Head
from mmyolo.utils import register_all_modules
register_all_modules()
class TestYOLOv8Head(TestCase):
def setUp(self... | 5,914 | 35.512346 | 78 | py |
mmyolo | mmyolo-main/tests/test_models/test_dense_heads/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
| 48 | 23.5 | 47 | py |
mmyolo | mmyolo-main/tests/test_models/test_dense_heads/test_rtmdet_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import numpy as np
import torch
from mmengine.config import Config
from mmengine.structures import InstanceData
from mmyolo.models import RTMDetInsSepBNHead
from mmyolo.models.dense_heads import RTMDetHead
from mmyolo.utils import register_... | 7,546 | 32.691964 | 78 | py |
mmyolo | mmyolo-main/tests/test_models/test_detectors/test_yolo_detector.py | # Copyright (c) OpenMMLab. All rights reserved.
import time
import unittest
from unittest import TestCase
import torch
from mmdet.structures import DetDataSample
from mmdet.testing import demo_mm_inputs
from mmengine.logging import MessageHub
from parameterized import parameterized
from mmyolo.testing import get_dete... | 5,695 | 40.275362 | 79 | py |
mmyolo | mmyolo-main/tests/test_models/test_task_modules/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
| 48 | 23.5 | 47 | py |
mmyolo | mmyolo-main/tests/test_models/test_task_modules/test_coders/test_distance_point_bbox_coder.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmyolo.models.task_modules.coders import DistancePointBBoxCoder
class TestDistancePointBBoxCoder(TestCase):
def test_decoder(self):
coder = DistancePointBBoxCoder()
points = torch.Tensor([[74., 61.]... | 1,218 | 39.633333 | 77 | py |
mmyolo | mmyolo-main/tests/test_models/test_task_modules/test_coders/test_yolov5_bbox_coder.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmyolo.models.task_modules.coders import YOLOv5BBoxCoder
class TestYOLOv5Coder(TestCase):
def test_decoder(self):
coder = YOLOv5BBoxCoder()
priors = torch.Tensor([[10., 10., 20., 20.], [10., 8., 10.... | 1,336 | 39.515152 | 77 | py |
mmyolo | mmyolo-main/tests/test_models/test_task_modules/test_coders/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
| 48 | 23.5 | 47 | py |
mmyolo | mmyolo-main/tests/test_models/test_task_modules/test_coders/test_yolox_bbox_coder.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmyolo.models.task_modules.coders import YOLOXBBoxCoder
class TestYOLOv5Coder(TestCase):
def test_decoder(self):
coder = YOLOXBBoxCoder()
priors = torch.Tensor([[10., 10.], [8., 8.], [15., 8.], [2.,... | 1,266 | 38.59375 | 77 | py |
mmyolo | mmyolo-main/tests/test_models/test_task_modules/test_assigners/test_batch_dsl_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import pytest
import torch
from mmyolo.models.task_modules.assigners import BatchDynamicSoftLabelAssigner
class TestBatchDynamicSoftLabelAssigner(TestCase):
def test_assign(self):
num_classes = 2
batch_size = 2
... | 7,466 | 37.689119 | 79 | py |
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