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2,287,800 | __init__.py | arojsubedi_Improved-YOLOv8s/ultralytics/data/__init__.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from .base import BaseDataset
from .build import build_dataloader, build_yolo_dataset, load_inference_source
from .dataset import ClassificationDataset, SemanticDataset, YOLODataset
__all__ = (
"BaseDataset",
"ClassificationDataset",
"SemanticDataset",
"YOLODa... | 409 | Python | .py | 13 | 28.153846 | 78 | 0.751269 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,801 | base.py | arojsubedi_Improved-YOLOv8s/ultralytics/data/base.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
import glob
import math
import os
import random
from copy import deepcopy
from multiprocessing.pool import ThreadPool
from pathlib import Path
from typing import Optional
import cv2
import numpy as np
import psutil
from torch.utils.data import Dataset
from ultralytics.utils ... | 13,216 | Python | .py | 276 | 36.547101 | 120 | 0.562331 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,802 | loaders.py | arojsubedi_Improved-YOLOv8s/ultralytics/data/loaders.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
import glob
import math
import os
import time
from dataclasses import dataclass
from pathlib import Path
from threading import Thread
from urllib.parse import urlparse
import cv2
import numpy as np
import requests
import torch
from PIL import Image
from ultralytics.data.util... | 21,910 | Python | .py | 449 | 38.835189 | 123 | 0.597465 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,803 | dataset.py | arojsubedi_Improved-YOLOv8s/ultralytics/data/dataset.py | # Ultralytics YOLO üöÄ, AGPL-3.0 license
import contextlib
from itertools import repeat
from multiprocessing.pool import ThreadPool
from pathlib import Path
import cv2
import numpy as np
import torch
import torchvision
from PIL import Image
from ultralytics.utils import LOCAL_RANK, NUM_THREADS, TQDM, colorstr, is_di... | 17,616 | Python | .py | 339 | 40.914454 | 122 | 0.595567 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,804 | split_dota.py | arojsubedi_Improved-YOLOv8s/ultralytics/data/split_dota.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
import itertools
from glob import glob
from math import ceil
from pathlib import Path
import cv2
import numpy as np
from PIL import Image
from tqdm import tqdm
from ultralytics.data.utils import exif_size, img2label_paths
from ultralytics.utils.checks import check_requiremen... | 9,961 | Python | .py | 245 | 31.889796 | 95 | 0.558048 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,805 | build.py | arojsubedi_Improved-YOLOv8s/ultralytics/data/build.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
import os
import random
from pathlib import Path
import numpy as np
import torch
from PIL import Image
from torch.utils.data import dataloader, distributed
from ultralytics.data.loaders import (
LOADERS,
LoadImages,
LoadPilAndNumpy,
LoadScreenshots,
LoadS... | 6,293 | Python | .py | 153 | 34.666667 | 117 | 0.671578 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,806 | explorer.py | arojsubedi_Improved-YOLOv8s/ultralytics/data/explorer/explorer.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from io import BytesIO
from pathlib import Path
from typing import Any, List, Tuple, Union
import cv2
import numpy as np
import torch
from PIL import Image
from matplotlib import pyplot as plt
from pandas import DataFrame
from tqdm import tqdm
from ultralytics.data.augment i... | 18,782 | Python | .py | 401 | 36.177057 | 134 | 0.593173 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,807 | utils.py | arojsubedi_Improved-YOLOv8s/ultralytics/data/explorer/utils.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
import getpass
from typing import List
import cv2
import numpy as np
import pandas as pd
from ultralytics.data.augment import LetterBox
from ultralytics.utils import LOGGER as logger
from ultralytics.utils import SETTINGS
from ultralytics.utils.checks import check_requiremen... | 7,041 | Python | .py | 140 | 40.871429 | 181 | 0.612945 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,808 | __init__.py | arojsubedi_Improved-YOLOv8s/ultralytics/data/explorer/__init__.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from .utils import plot_query_result
__all__ = ["plot_query_result"]
| 113 | Python | .py | 3 | 36 | 41 | 0.731481 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,809 | dash.py | arojsubedi_Improved-YOLOv8s/ultralytics/data/explorer/gui/dash.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
import time
from threading import Thread
import pandas as pd
from ultralytics import Explorer
from ultralytics.utils import ROOT, SETTINGS
from ultralytics.utils.checks import check_requirements
check_requirements(("streamlit>=1.29.0", "streamlit-select>=0.3"))
import stre... | 10,042 | Python | .py | 231 | 34.398268 | 178 | 0.601801 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,810 | __init__.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/__init__.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from .rtdetr import RTDETR
from .sam import SAM
from .yolo import YOLO, YOLOWorld
__all__ = "YOLO", "RTDETR", "SAM", "YOLOWorld" # allow simpler import
| 197 | Python | .py | 5 | 38 | 70 | 0.731579 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,811 | predict.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/nas/predict.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
import torch
from ultralytics.engine.predictor import BasePredictor
from ultralytics.engine.results import Results
from ultralytics.utils import ops
class NASPredictor(BasePredictor):
"""
Ultralytics YOLO NAS Predictor for object detection.
This class extends t... | 2,136 | Python | .py | 46 | 38.086957 | 109 | 0.665222 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,812 | val.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/nas/val.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
import torch
from ultralytics.models.yolo.detect import DetectionValidator
from ultralytics.utils import ops
__all__ = ["NASValidator"]
class NASValidator(DetectionValidator):
"""
Ultralytics YOLO NAS Validator for object detection.
Extends `DetectionValidator... | 1,680 | Python | .py | 39 | 35.230769 | 129 | 0.679141 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,813 | __init__.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/nas/__init__.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from .model import NAS
from .predict import NASPredictor
from .val import NASValidator
__all__ = "NASPredictor", "NASValidator", "NAS"
| 179 | Python | .py | 5 | 34.4 | 47 | 0.773256 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,814 | model.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/nas/model.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
"""
YOLO-NAS model interface.
Example:
```python
from ultralytics import NAS
model = NAS('yolo_nas_s')
results = model.predict('ultralytics/assets/bus.jpg')
```
"""
from pathlib import Path
import torch
from ultralytics.engine.model import Model
from ul... | 2,864 | Python | .py | 65 | 37.184615 | 117 | 0.666667 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,815 | predict.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/sam/predict.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
"""
Generate predictions using the Segment Anything Model (SAM).
SAM is an advanced image segmentation model offering features like promptable segmentation and zero-shot performance.
This module contains the implementation of the prediction logic and auxiliary utilities requir... | 23,632 | Python | .py | 404 | 47.836634 | 134 | 0.647983 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,816 | __init__.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/sam/__init__.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from .model import SAM
from .predict import Predictor
__all__ = "SAM", "Predictor" # tuple or list
| 144 | Python | .py | 4 | 34.5 | 45 | 0.731884 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,817 | model.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/sam/model.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
"""
SAM model interface.
This module provides an interface to the Segment Anything Model (SAM) from Ultralytics, designed for real-time image
segmentation tasks. The SAM model allows for promptable segmentation with unparalleled versatility in image analysis,
and has been trai... | 4,706 | Python | .py | 91 | 43.604396 | 119 | 0.674652 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,818 | amg.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/sam/amg.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
import math
from itertools import product
from typing import Any, Generator, List, Tuple
import numpy as np
import torch
def is_box_near_crop_edge(
boxes: torch.Tensor, crop_box: List[int], orig_box: List[int], atol: float = 20.0
) -> torch.Tensor:
"""Return a boole... | 7,935 | Python | .py | 147 | 48.517007 | 119 | 0.656944 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,819 | build.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/sam/build.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from functools import partial
import torch
from ultralytics.utils.downloads i... | 4,943 | Python | .py | 139 | 27.417266 | 120 | 0.619277 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,820 | transformer.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/sam/modules/transformer.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
import math
from typing import Tuple, Type
import torch
from torch import Tensor, nn
from ultralytics.nn.modules import MLPBlock
class TwoWayTransformer(nn.Module):
"""
A Two-Way Transformer module that enables the simultaneous attention to both image and query poi... | 11,170 | Python | .py | 230 | 39.330435 | 123 | 0.640694 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,821 | tiny_encoder.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/sam/modules/tiny_encoder.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
# --------------------------------------------------------
# TinyViT Model Architecture
# Copyright (c) 2022 Microsoft
# Adapted from LeViT and Swin Transformer
# LeViT: (https://github.com/facebookresearch/levit)
# Swin: (https://github.com/microsoft/swin-transformer)
# B... | 29,135 | Python | .py | 631 | 35.96355 | 123 | 0.592822 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,822 | decoders.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/sam/modules/decoders.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from typing import List, Tuple, Type
import torch
from torch import nn
from torch.nn import functional as F
from ultralytics.nn.modules import LayerNorm2d
class MaskDecoder(nn.Module):
"""
Decoder module for generating masks and their associated quality scores, usi... | 7,816 | Python | .py | 161 | 39.440994 | 120 | 0.646079 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,823 | encoders.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/sam/modules/encoders.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from typing import Any, Optional, Tuple, Type
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from ultralytics.nn.modules import LayerNorm2d, MLPBlock
class ImageEncoderViT(nn.Module):
"""
An image encoder using Vision Transfor... | 24,746 | Python | .py | 516 | 38.753876 | 120 | 0.609245 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,824 | sam.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/sam/modules/sam.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from typing import List
import torch
from torch import nn
from .decoders impo... | 2,783 | Python | .py | 53 | 44.943396 | 120 | 0.689845 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,825 | loss.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/utils/loss.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
import torch
import torch.nn as nn
import torch.nn.functional as F
from ultralytics.utils.loss import FocalLoss, VarifocalLoss
from ultralytics.utils.metrics import bbox_iou
from .ops import HungarianMatcher
class DETRLoss(nn.Module):
"""
DETR (DEtection TRansformer... | 15,134 | Python | .py | 302 | 40.149007 | 120 | 0.590709 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,826 | ops.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/utils/ops.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
import torch
import torch.nn as nn
import torch.nn.functional as F
from scipy.optimize import linear_sum_assignment
from ultralytics.utils.metrics import bbox_iou
from ultralytics.utils.ops import xywh2xyxy, xyxy2xywh
class HungarianMatcher(nn.Module):
"""
A module ... | 13,244 | Python | .py | 225 | 50.831111 | 120 | 0.632463 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,827 | predict.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/rtdetr/predict.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
import torch
from ultralytics.data.augment import LetterBox
from ultralytics.engine.predictor import BasePredictor
from ultralytics.engine.results import Results
from ultralytics.utils import ops
class RTDETRPredictor(BasePredictor):
"""
RT-DETR (Real-Time Detection... | 3,425 | Python | .py | 66 | 42.757576 | 119 | 0.651706 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,828 | val.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/rtdetr/val.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
import torch
from ultralytics.data import YOLODataset
from ultralytics.data.augment import Compose, Format, v8_transforms
from ultralytics.models.yolo.detect import DetectionValidator
from ultralytics.utils import colorstr, ops
__all__ = ("RTDETRValidator",) # tuple or list... | 5,401 | Python | .py | 111 | 39.288288 | 118 | 0.623458 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,829 | train.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/rtdetr/train.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from copy import copy
import torch
from ultralytics.models.yolo.detect import DetectionTrainer
from ultralytics.nn.tasks import RTDETRDetectionModel
from ultralytics.utils import RANK, colorstr
from .val import RTDETRDataset, RTDETRValidator
class RTDETRTrainer(DetectionTr... | 3,684 | Python | .py | 82 | 35.890244 | 119 | 0.645548 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,830 | __init__.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/rtdetr/__init__.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from .model import RTDETR
from .predict import RTDETRPredictor
from .val import RTDETRValidator
__all__ = "RTDETRPredictor", "RTDETRValidator", "RTDETR"
| 197 | Python | .py | 5 | 38 | 56 | 0.794737 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,831 | model.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/rtdetr/model.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
"""
Interface for Baidu's RT-DETR, a Vision Transformer-based real-time object detector. RT-DETR offers real-time
performance and high accuracy, excelling in accelerated backends like CUDA with TensorRT. It features an efficient
hybrid encoder and IoU-aware query selection for ... | 2,167 | Python | .py | 45 | 40.688889 | 120 | 0.678351 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,832 | __init__.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/yolo/__init__.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from ultralytics.models.yolo import classify, detect, obb, pose, segment
from .model import YOLO, YOLOWorld
__all__ = "classify", "segment", "detect", "pose", "obb", "YOLO", "YOLOWorld"
| 231 | Python | .py | 4 | 56 | 77 | 0.723214 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,833 | model.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/yolo/model.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from pathlib import Path
from ultralytics.engine.model import Model
from ultralytics.models import yolo
from ultralytics.nn.tasks import ClassificationModel, DetectionModel, OBBModel, PoseModel, SegmentationModel, WorldModel
from ultralytics.utils import yaml_load, ROOT
cla... | 3,827 | Python | .py | 90 | 31.488889 | 120 | 0.588125 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,834 | predict.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/yolo/obb/predict.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
import torch
from ultralytics.engine.results import Results
from ultralytics.models.yolo.detect.predict import DetectionPredictor
from ultralytics.utils import DEFAULT_CFG, ops
class OBBPredictor(DetectionPredictor):
"""
A class extending the DetectionPredictor clas... | 2,037 | Python | .py | 43 | 38.511628 | 112 | 0.641129 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,835 | val.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/yolo/obb/val.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from pathlib import Path
import torch
from ultralytics.models.yolo.detect import DetectionValidator
from ultralytics.utils import LOGGER, ops
from ultralytics.utils.metrics import OBBMetrics, batch_probiou
from ultralytics.utils.plotting import output_to_rotated_target, plot... | 8,500 | Python | .py | 161 | 40.962733 | 117 | 0.56356 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,836 | train.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/yolo/obb/train.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from copy import copy
from ultralytics.models import yolo
from ultralytics.nn.tasks import OBBModel
from ultralytics.utils import DEFAULT_CFG, RANK
class OBBTrainer(yolo.detect.DetectionTrainer):
"""
A class extending the DetectionTrainer class for training based on... | 1,473 | Python | .py | 32 | 38.84375 | 108 | 0.671558 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,837 | __init__.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/yolo/obb/__init__.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from .predict import OBBPredictor
from .train import OBBTrainer
from .val import OBBValidator
__all__ = "OBBPredictor", "OBBTrainer", "OBBValidator"
| 193 | Python | .py | 5 | 37.2 | 54 | 0.790323 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,838 | predict.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/yolo/detect/predict.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from ultralytics.engine.predictor import BasePredictor
from ultralytics.engine.results import Results
from ultralytics.utils import ops
class DetectionPredictor(BasePredictor):
"""
A class extending the BasePredictor class for prediction based on a detection model.
... | 1,510 | Python | .py | 35 | 34.371429 | 96 | 0.648943 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,839 | val.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/yolo/detect/val.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
import os
from pathlib import Path
import numpy as np
import torch
from ultralytics.data import build_dataloader, build_yolo_dataset, converter
from ultralytics.engine.validator import BaseValidator
from ultralytics.utils import LOGGER, ops
from ultralytics.utils.checks impo... | 13,395 | Python | .py | 262 | 39.816794 | 125 | 0.583766 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,840 | train.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/yolo/detect/train.py | # Ultralytics YOLO üöÄ, AGPL-3.0 license
import math
import random
from copy import copy
import numpy as np
import torch.nn as nn
from ultralytics.data import build_dataloader, build_yolo_dataset
from ultralytics.engine.trainer import BaseTrainer
from ultralytics.models import yolo
from ultralytics.nn.tasks import ... | 6,306 | Python | .py | 123 | 42.073171 | 119 | 0.627779 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,841 | __init__.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/yolo/detect/__init__.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from .predict import DetectionPredictor
from .train import DetectionTrainer
from .val import DetectionValidator
__all__ = "DetectionPredictor", "DetectionTrainer", "DetectionValidator"
| 229 | Python | .py | 5 | 44.4 | 72 | 0.824324 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,842 | predict.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/yolo/pose/predict.py | # Ultralytics YOLO üöÄ, AGPL-3.0 license
from ultralytics.engine.results import Results
from ultralytics.models.yolo.detect.predict import DetectionPredictor
from ultralytics.utils import DEFAULT_CFG, LOGGER, ops
class PosePredictor(DetectionPredictor):
"""
A class extending the DetectionPredictor class for... | 2,404 | Python | .py | 49 | 39.306122 | 112 | 0.626598 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,843 | val.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/yolo/pose/val.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from pathlib import Path
import numpy as np
import torch
from ultralytics.models.yolo.detect import DetectionValidator
from ultralytics.utils import LOGGER, ops
from ultralytics.utils.checks import check_requirements
from ultralytics.utils.metrics import OKS_SIGMA, PoseMetri... | 10,607 | Python | .py | 220 | 36.268182 | 120 | 0.565595 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,844 | train.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/yolo/pose/train.py | # Ultralytics YOLO üöÄ, AGPL-3.0 license
from copy import copy
from ultralytics.models import yolo
from ultralytics.nn.tasks import PoseModel
from ultralytics.utils import DEFAULT_CFG, LOGGER
from ultralytics.utils.plotting import plot_images, plot_results
class PoseTrainer(yolo.detect.DetectionTrainer):
"""
... | 2,926 | Python | .py | 65 | 36.230769 | 112 | 0.634352 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,845 | __init__.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/yolo/pose/__init__.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from .predict import PosePredictor
from .train import PoseTrainer
from .val import PoseValidator
__all__ = "PoseTrainer", "PoseValidator", "PosePredictor"
| 199 | Python | .py | 5 | 38.4 | 57 | 0.796875 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,846 | predict.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/yolo/segment/predict.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from ultralytics.engine.results import Results
from ultralytics.models.yolo.detect.predict import DetectionPredictor
from ultralytics.utils import DEFAULT_CFG, ops
class SegmentationPredictor(DetectionPredictor):
"""
A class extending the DetectionPredictor class for... | 2,491 | Python | .py | 48 | 42.041667 | 120 | 0.627362 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,847 | val.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/yolo/segment/val.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from multiprocessing.pool import ThreadPool
from pathlib import Path
import numpy as np
import torch
import torch.nn.functional as F
from ultralytics.models.yolo.detect import DetectionValidator
from ultralytics.utils import LOGGER, NUM_THREADS, ops
from ultralytics.utils.ch... | 11,745 | Python | .py | 244 | 36.028689 | 120 | 0.560691 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,848 | train.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/yolo/segment/train.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from copy import copy
from ultralytics.models import yolo
from ultralytics.nn.tasks import SegmentationModel
from ultralytics.utils import DEFAULT_CFG, RANK
from ultralytics.utils.plotting import plot_images, plot_results
class SegmentationTrainer(yolo.detect.DetectionTrain... | 2,298 | Python | .py | 50 | 37.68 | 101 | 0.655188 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,849 | __init__.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/yolo/segment/__init__.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from .predict import SegmentationPredictor
from .train import SegmentationTrainer
from .val import SegmentationValidator
__all__ = "SegmentationPredictor", "SegmentationTrainer", "SegmentationValidator"
| 247 | Python | .py | 5 | 48 | 81 | 0.8375 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,850 | predict.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/yolo/classify/predict.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
import cv2
import torch
from PIL import Image
from ultralytics.engine.predictor import BasePredictor
from ultralytics.engine.results import Results
from ultralytics.utils import DEFAULT_CFG, ops
class ClassificationPredictor(BasePredictor):
"""
A class extending the... | 2,513 | Python | .py | 50 | 41.44 | 112 | 0.665579 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,851 | val.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/yolo/classify/val.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
import torch
from ultralytics.data import ClassificationDataset, build_dataloader
from ultralytics.engine.validator import BaseValidator
from ultralytics.utils import LOGGER
from ultralytics.utils.metrics import ClassifyMetrics, ConfusionMatrix
from ultralytics.utils.plotting... | 4,861 | Python | .py | 94 | 43.06383 | 119 | 0.656908 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,852 | train.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/yolo/classify/train.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
import torch
import torchvision
from ultralytics.data import ClassificationDataset, build_dataloader
from ultralytics.engine.trainer import BaseTrainer
from ultralytics.models import yolo
from ultralytics.nn.tasks import ClassificationModel, attempt_load_one_weight
from ultra... | 6,832 | Python | .py | 133 | 41.609023 | 118 | 0.639197 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,853 | __init__.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/yolo/classify/__init__.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from ultralytics.models.yolo.classify.predict import ClassificationPredictor
from ultralytics.models.yolo.classify.train import ClassificationTrainer
from ultralytics.models.yolo.classify.val import ClassificationValidator
__all__ = "ClassificationPredictor", "ClassificationT... | 355 | Python | .py | 5 | 69.6 | 87 | 0.862069 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,854 | prompt.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/fastsam/prompt.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
import os
from pathlib import Path
import cv2
import matplotlib.pyplot as plt
import numpy as np
import torch
from PIL import Image
from ultralytics.utils import TQDM
class FastSAMPrompt:
"""
Fast Segment Anything Model class for image annotation and visualization.... | 16,165 | Python | .py | 321 | 38.242991 | 134 | 0.577745 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,855 | predict.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/fastsam/predict.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
import torch
from ultralytics.engine.results import Results
from ultralytics.models.fastsam.utils import bbox_iou
from ultralytics.models.yolo.detect.predict import DetectionPredictor
from ultralytics.utils import DEFAULT_CFG, ops
class FastSAMPredictor(DetectionPredictor):... | 4,121 | Python | .py | 73 | 46.726027 | 120 | 0.639653 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,856 | val.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/fastsam/val.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from ultralytics.models.yolo.segment import SegmentationValidator
from ultralytics.utils.metrics import SegmentMetrics
class FastSAMValidator(SegmentationValidator):
"""
Custom validation class for fast SAM (Segment Anything Model) segmentation in Ultralytics YOLO fr... | 1,967 | Python | .py | 32 | 53.46875 | 119 | 0.724961 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,857 | utils.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/fastsam/utils.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
import torch
def adjust_bboxes_to_image_border(boxes, image_shape, threshold=20):
"""
Adjust bounding boxes to stick to image border if they are within a certain threshold.
Args:
boxes (torch.Tensor): (n, 4)
image_shape (tuple): (height, width)
... | 2,157 | Python | .py | 51 | 36.431373 | 107 | 0.627751 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,858 | __init__.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/fastsam/__init__.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from .model import FastSAM
from .predict import FastSAMPredictor
from .prompt import FastSAMPrompt
from .val import FastSAMValidator
__all__ = "FastSAMPredictor", "FastSAM", "FastSAMPrompt", "FastSAMValidator"
| 254 | Python | .py | 6 | 41 | 76 | 0.808943 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,859 | model.py | arojsubedi_Improved-YOLOv8s/ultralytics/models/fastsam/model.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from pathlib import Path
from ultralytics.engine.model import Model
from .predict import FastSAMPredictor
from .val import FastSAMValidator
class FastSAM(Model):
"""
FastSAM model interface.
Example:
```python
from ultralytics import FastSAM
... | 1,054 | Python | .py | 25 | 35.72 | 109 | 0.666014 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,860 | validator.py | arojsubedi_Improved-YOLOv8s/ultralytics/engine/validator.py | # Ultralytics YOLO üöÄ, AGPL-3.0 license
"""
Check a model's accuracy on a test or val split of a dataset.
Usage:
$ yolo mode=val model=yolov8n.pt data=coco128.yaml imgsz=640
Usage - formats:
$ yolo mode=val model=yolov8n.pt # PyTorch
yolov8n.torchscript # Tor... | 14,576 | Python | .py | 291 | 38.852234 | 118 | 0.602388 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,861 | exporter.py | arojsubedi_Improved-YOLOv8s/ultralytics/engine/exporter.py | # Ultralytics YOLO üöÄ, AGPL-3.0 license
"""
Export a YOLOv8 PyTorch model to other formats. TensorFlow exports authored by https://github.com/zldrobit
Format | `format=argument` | Model
--- | --- | ---
PyTorch | - ... | 52,811 | Python | .py | 973 | 43.5889 | 135 | 0.598541 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,862 | trainer.py | arojsubedi_Improved-YOLOv8s/ultralytics/engine/trainer.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
"""
Train a model on a dataset.
Usage:
$ yolo mode=train model=yolov8n.pt data=coco128.yaml imgsz=640 epochs=100 batch=16
"""
import math
import os
import subprocess
import time
import warnings
from copy import deepcopy
from datetime import datetime, timedelta
from pathli... | 34,321 | Python | .py | 662 | 40.135952 | 122 | 0.590259 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,863 | tuner.py | arojsubedi_Improved-YOLOv8s/ultralytics/engine/tuner.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
"""
This module provides functionalities for hyperparameter tuning of the Ultralytics YOLO models for object detection,
instance segmentation, image classification, pose estimation, and multi-object tracking.
Hyperparameter tuning is the process of systematically searching for... | 11,758 | Python | .py | 206 | 46.26699 | 119 | 0.603664 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,864 | results.py | arojsubedi_Improved-YOLOv8s/ultralytics/engine/results.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
"""
Ultralytics Results, Boxes and Masks classes for handling inference results.
Usage: See https://docs.ultralytics.com/modes/predict/
"""
from copy import deepcopy
from functools import lru_cache
from pathlib import Path
import numpy as np
import torch
from ultralytics.da... | 30,120 | Python | .py | 621 | 39.10789 | 120 | 0.610548 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,865 | predictor.py | arojsubedi_Improved-YOLOv8s/ultralytics/engine/predictor.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
"""
Run prediction on images, videos, directories, globs, YouTube, webcam, streams, etc.
Usage - sources:
$ yolo mode=predict model=yolov8n.pt source=0 # webcam
img.jpg # ... | 17,832 | Python | .py | 354 | 37.432203 | 119 | 0.55655 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,866 | model.py | arojsubedi_Improved-YOLOv8s/ultralytics/engine/model.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
import inspect
import sys
from pathlib import Path
from typing import Union
import numpy as np
import torch
from ultralytics.cfg import TASK2DATA, get_cfg, get_save_dir
from ultralytics.hub.utils import HUB_WEB_ROOT
from ultralytics.nn.tasks import attempt_load_one_weight, g... | 38,620 | Python | .py | 670 | 47.555224 | 120 | 0.661439 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,867 | errors.py | arojsubedi_Improved-YOLOv8s/ultralytics/utils/errors.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from ultralytics.utils import emojis
class HUBModelError(Exception):
"""
Custom exception class for handling errors related to model fetching in Ultralytics YOLO.
This exception is raised when a requested model is not found or cannot be retrieved.
The messag... | 816 | Python | .py | 15 | 48.666667 | 114 | 0.731738 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,868 | checks.py | arojsubedi_Improved-YOLOv8s/ultralytics/utils/checks.py | # Ultralytics YOLO üöÄ, AGPL-3.0 license
import contextlib
import glob
import inspect
import math
import os
import platform
import re
import shutil
import subprocess
import time
from importlib import metadata
from pathlib import Path
from typing import Optional
import cv2
import numpy as np
import requests
import to... | 27,785 | Python | .py | 594 | 39.016835 | 123 | 0.631838 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,869 | patches.py | arojsubedi_Improved-YOLOv8s/ultralytics/utils/patches.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
"""Monkey patches to update/extend functionality of existing functions."""
import time
from pathlib import Path
import cv2
import numpy as np
import torch
# OpenCV Multilanguage-friendly functions ------------------------------------------------------------------------------... | 2,659 | Python | .py | 65 | 34.784615 | 120 | 0.619122 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,870 | torch_utils.py | arojsubedi_Improved-YOLOv8s/ultralytics/utils/torch_utils.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
import math
import os
import random
import time
from contextlib import contextmanager
from copy import deepcopy
from pathlib import Path
from typing import Union
import numpy as np
import torch
import torch.distributed as dist
import torch.nn as nn
import torch.nn.functional ... | 25,132 | Python | .py | 504 | 41.311508 | 120 | 0.615168 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,871 | tal.py | arojsubedi_Improved-YOLOv8s/ultralytics/utils/tal.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
import torch
import torch.nn as nn
from .checks import check_version
from .metrics import bbox_iou
TORCH_1_10 = check_version(torch.__version__, '1.10.0')
def select_candidates_in_gts(xy_centers, gt_bboxes, eps=1e-9):
"""
Select the positive anchor center in gt.
... | 13,656 | Python | .py | 225 | 50.16 | 121 | 0.611871 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,872 | plotting.py | arojsubedi_Improved-YOLOv8s/ultralytics/utils/plotting.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
import contextlib
import math
import warnings
from pathlib import Path
import cv2
import matplotlib.pyplot as plt
import numpy as np
import torch
from PIL import Image, ImageDraw, ImageFont
from PIL import __version__ as pil_version
from ultralytics.utils import LOGGER, TryE... | 44,711 | Python | .py | 925 | 37.601081 | 120 | 0.557164 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,873 | tuner.py | arojsubedi_Improved-YOLOv8s/ultralytics/utils/tuner.py | # Ultralytics YOLO üöÄ, AGPL-3.0 license
import subprocess
from ultralytics.cfg import TASK2DATA, TASK2METRIC, get_save_dir
from ultralytics.utils import DEFAULT_CFG, DEFAULT_CFG_DICT, LOGGER, NUM_THREADS
def run_ray_tune(
model, space: dict = None, grace_period: int = 10, gpu_per_trial: int = None, max_sample... | 6,003 | Python | .py | 119 | 42.932773 | 117 | 0.654772 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,874 | metrics.py | arojsubedi_Improved-YOLOv8s/ultralytics/utils/metrics.py | # Ultralytics YOLO üöÄ, AGPL-3.0 license
"""Model validation metrics."""
import math
import warnings
from pathlib import Path
import matplotlib.pyplot as plt
import numpy as np
import torch
from ultralytics.utils import LOGGER, SimpleClass, TryExcept, plt_settings
OKS_SIGMA = np.array([.26, .25, .25, .35, .35, .79... | 48,600 | Python | .py | 918 | 43.077342 | 149 | 0.603437 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,875 | downloads.py | arojsubedi_Improved-YOLOv8s/ultralytics/utils/downloads.py | # Ultralytics YOLO üöÄ, AGPL-3.0 license
import contextlib
import re
import shutil
import subprocess
from itertools import repeat
from multiprocessing.pool import ThreadPool
from pathlib import Path
from urllib import parse, request
import requests
import torch
from ultralytics.utils import LOGGER, TQDM, checks, cl... | 21,303 | Python | .py | 417 | 41.827338 | 122 | 0.623955 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,876 | __init__.py | arojsubedi_Improved-YOLOv8s/ultralytics/utils/__init__.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
import contextlib
import inspect
import logging.config
import os
import platform
import re
import subprocess
import sys
import threading
import time
import urllib
import uuid
from pathlib import Path
from types import SimpleNamespace
from typing import Union
import cv2
import... | 36,969 | Python | .py | 812 | 37.641626 | 121 | 0.637545 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,877 | instance.py | arojsubedi_Improved-YOLOv8s/ultralytics/utils/instance.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from collections import abc
from itertools import repeat
from numbers import Number
from typing import List
import numpy as np
from .ops import ltwh2xywh, ltwh2xyxy, xywh2ltwh, xywh2xyxy, xyxy2ltwh, xyxy2xywh
def _ntuple(n):
"""From PyTorch internals."""
def parse... | 15,575 | Python | .py | 342 | 36.143275 | 114 | 0.593882 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,878 | benchmarks.py | arojsubedi_Improved-YOLOv8s/ultralytics/utils/benchmarks.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
"""
Benchmark a YOLO model formats for speed and accuracy.
Usage:
from ultralytics.utils.benchmarks import ProfileModels, benchmark
ProfileModels(['yolov8n.yaml', 'yolov8s.yaml']).profile()
benchmark(model='yolov8n.pt', imgsz=160)
Format | `format... | 17,641 | Python | .py | 326 | 44.530675 | 189 | 0.603871 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,879 | dist.py | arojsubedi_Improved-YOLOv8s/ultralytics/utils/dist.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
import os
import shutil
import socket
import sys
import tempfile
from . import USER_CONFIG_DIR
from .torch_utils import TORCH_1_9
def find_free_network_port() -> int:
"""
Finds a free port on localhost.
It is useful in single-node training when we don't want to... | 2,267 | Python | .py | 56 | 35.571429 | 113 | 0.668033 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,880 | triton.py | arojsubedi_Improved-YOLOv8s/ultralytics/utils/triton.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from typing import List
from urllib.parse import urlsplit
import numpy as np
class TritonRemoteModel:
"""
Client for interacting with a remote Triton Inference Server model.
Attributes:
endpoint (str): The name of the model on the Triton server.
... | 3,936 | Python | .py | 73 | 44.328767 | 118 | 0.639178 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,881 | loss.py | arojsubedi_Improved-YOLOv8s/ultralytics/utils/loss.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
import torch
import torch.nn as nn
import torch.nn.functional as F
from ultralytics.utils.metrics import OKS_SIGMA
from ultralytics.utils.ops import crop_mask, xywh2xyxy, xyxy2xywh
from ultralytics.utils.tal import TaskAlignedAssigner, dist2bbox, make_anchors
from .metrics i... | 26,018 | Python | .py | 427 | 50.091335 | 129 | 0.604632 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,882 | autobatch.py | arojsubedi_Improved-YOLOv8s/ultralytics/utils/autobatch.py | # Ultralytics YOLO üöÄ, AGPL-3.0 license
"""Functions for estimating the best YOLO batch size to use a fraction of the available CUDA memory in PyTorch."""
from copy import deepcopy
import numpy as np
import torch
from ultralytics.utils import DEFAULT_CFG, LOGGER, colorstr
from ultralytics.utils.torch_utils import ... | 3,863 | Python | .py | 71 | 47.535211 | 124 | 0.657483 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,883 | files.py | arojsubedi_Improved-YOLOv8s/ultralytics/utils/files.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
import contextlib
import glob
import os
import shutil
import tempfile
from contextlib import contextmanager
from datetime import datetime
from pathlib import Path
class WorkingDirectory(contextlib.ContextDecorator):
"""Usage: @WorkingDirectory(dir) decorator or 'with Wor... | 5,275 | Python | .py | 113 | 38.690265 | 119 | 0.633385 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,884 | ops.py | arojsubedi_Improved-YOLOv8s/ultralytics/utils/ops.py | # Ultralytics YOLO üöÄ, AGPL-3.0 license
import contextlib
import math
import re
import time
import cv2
import numpy as np
import torch
import torch.nn.functional as F
import torchvision
from ultralytics.utils import LOGGER
from ultralytics.utils.metrics import batch_probiou
class Profile(contextlib.ContextDecora... | 33,264 | Python | .py | 692 | 41.154624 | 120 | 0.603764 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,885 | dvc.py | arojsubedi_Improved-YOLOv8s/ultralytics/utils/callbacks/dvc.py | # Ultralytics YOLO üöÄ, AGPL-3.0 license
from ultralytics.utils import LOGGER, SETTINGS, TESTS_RUNNING, checks
try:
assert not TESTS_RUNNING # do not log pytest
assert SETTINGS["dvc"] is True # verify integration is enabled
import dvclive
assert checks.check_version("dvclive", "2.11.0", verbose=Tr... | 5,045 | Python | .py | 107 | 40.074766 | 116 | 0.667959 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,886 | wb.py | arojsubedi_Improved-YOLOv8s/ultralytics/utils/callbacks/wb.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from ultralytics.utils import SETTINGS, TESTS_RUNNING
from ultralytics.utils.torch_utils import model_info_for_loggers
try:
assert not TESTS_RUNNING # do not log pytest
assert SETTINGS["wandb"] is True # verify integration is enabled
import wandb as wb
asse... | 6,635 | Python | .py | 133 | 43.278195 | 120 | 0.668572 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,887 | comet.py | arojsubedi_Improved-YOLOv8s/ultralytics/utils/callbacks/comet.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from ultralytics.utils import LOGGER, RANK, SETTINGS, TESTS_RUNNING, ops
try:
assert not TESTS_RUNNING # do not log pytest
assert SETTINGS["comet"] is True # verify integration is enabled
import comet_ml
assert hasattr(comet_ml, "__version__") # verify pac... | 13,744 | Python | .py | 277 | 42.790614 | 117 | 0.689356 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,888 | clearml.py | arojsubedi_Improved-YOLOv8s/ultralytics/utils/callbacks/clearml.py | # Ultralytics YOLO üöÄ, AGPL-3.0 license
from ultralytics.utils import LOGGER, SETTINGS, TESTS_RUNNING
try:
assert not TESTS_RUNNING # do not log pytest
assert SETTINGS["clearml"] is True # verify integration is enabled
import clearml
from clearml import Task
from clearml.binding.frameworks.pyt... | 5,897 | Python | .py | 126 | 38.103175 | 116 | 0.63342 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,889 | raytune.py | arojsubedi_Improved-YOLOv8s/ultralytics/utils/callbacks/raytune.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from ultralytics.utils import SETTINGS
try:
assert SETTINGS["raytune"] is True # verify integration is enabled
import ray
from ray import tune
from ray.air import session
except (ImportError, AssertionError):
tune = None
def on_fit_epoch_end(trainer):
... | 632 | Python | .py | 22 | 23.954545 | 71 | 0.68325 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,890 | __init__.py | arojsubedi_Improved-YOLOv8s/ultralytics/utils/callbacks/__init__.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from .base import add_integration_callbacks, default_callbacks, get_default_callbacks
__all__ = "add_integration_callbacks", "default_callbacks", "get_default_callbacks"
| 214 | Python | .py | 3 | 69.666667 | 85 | 0.784689 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,891 | hub.py | arojsubedi_Improved-YOLOv8s/ultralytics/utils/callbacks/hub.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
import json
from time import time
from ultralytics.hub.utils import HUB_WEB_ROOT, PREFIX, events
from ultralytics.utils import LOGGER, SETTINGS
def on_pretrain_routine_end(trainer):
"""Logs info before starting timer for upload rate limit."""
session = getattr(train... | 3,402 | Python | .py | 81 | 34.604938 | 97 | 0.643528 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,892 | base.py | arojsubedi_Improved-YOLOv8s/ultralytics/utils/callbacks/base.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
"""Base callbacks."""
from collections import defaultdict
from copy import deepcopy
# Trainer callbacks ----------------------------------------------------------------------------------------------------
def on_pretrain_routine_start(trainer):
"""Called before the pre... | 5,777 | Python | .py | 147 | 34.29932 | 120 | 0.63602 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,893 | mlflow.py | arojsubedi_Improved-YOLOv8s/ultralytics/utils/callbacks/mlflow.py | # Ultralytics YOLO üöÄ, AGPL-3.0 license
"""
MLflow Logging for Ultralytics YOLO.
This module enables MLflow logging for Ultralytics YOLO. It logs metrics, parameters, and model artifacts.
For setting up, a tracking URI should be specified. The logging can be customized using environment variables.
Commands:
1. ... | 4,909 | Python | .py | 98 | 43.346939 | 125 | 0.678168 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,894 | neptune.py | arojsubedi_Improved-YOLOv8s/ultralytics/utils/callbacks/neptune.py | # Ultralytics YOLO üöÄ, AGPL-3.0 license
from ultralytics.utils import LOGGER, SETTINGS, TESTS_RUNNING
try:
assert not TESTS_RUNNING # do not log pytest
assert SETTINGS["neptune"] is True # verify integration is enabled
import neptune
from neptune.types import File
assert hasattr(neptune, "__v... | 3,756 | Python | .py | 86 | 37.209302 | 118 | 0.648738 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,895 | tensorboard.py | arojsubedi_Improved-YOLOv8s/ultralytics/utils/callbacks/tensorboard.py | # Ultralytics YOLO üöÄ, AGPL-3.0 license
import contextlib
from ultralytics.utils import LOGGER, SETTINGS, TESTS_RUNNING, colorstr
try:
# WARNING: do not move SummaryWriter import due to protobuf bug https://github.com/ultralytics/ultralytics/pull/4674
from torch.utils.tensorboard import SummaryWriter
a... | 4,038 | Python | .py | 82 | 41.768293 | 120 | 0.679888 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,896 | __init__.py | arojsubedi_Improved-YOLOv8s/ultralytics/cfg/__init__.py | # Ultralytics YOLO üöÄ, AGPL-3.0 license
import contextlib
import shutil
import subprocess
import sys
from pathlib import Path
from types import SimpleNamespace
from typing import Dict, List, Union
from ultralytics.utils import (
ASSETS,
DEFAULT_CFG,
DEFAULT_CFG_DICT,
DEFAULT_CFG_PATH,
LOGGER,
... | 20,768 | Python | .py | 502 | 33.802789 | 120 | 0.604133 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,897 | autobackend.py | arojsubedi_Improved-YOLOv8s/ultralytics/nn/autobackend.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
import ast
import contextlib
import json
import platform
import zipfile
from collections import OrderedDict, namedtuple
from pathlib import Path
import cv2
import numpy as np
import torch
import torch.nn as nn
from PIL import Image
from ultralytics.utils import ARM64, LINUX,... | 27,069 | Python | .py | 497 | 41.901408 | 120 | 0.572263 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,898 | tasks.py | arojsubedi_Improved-YOLOv8s/ultralytics/nn/tasks.py | # Ultralytics YOLO üöÄ, AGPL-3.0 license
import contextlib
from copy import deepcopy
from pathlib import Path
import torch
import torch.nn as nn
from ultralytics.nn.modules import (
AIFI,
C1,
C2,
C3,
C3TR,
OBB,
SPP,
SPPF,
Bottleneck,
BottleneckCSP,
C2f,
C2fAttn,
I... | 42,451 | Python | .py | 866 | 39.353349 | 124 | 0.60071 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |
2,287,899 | __init__.py | arojsubedi_Improved-YOLOv8s/ultralytics/nn/__init__.py | # Ultralytics YOLO 🚀, AGPL-3.0 license
from .tasks import (
BaseModel,
ClassificationModel,
DetectionModel,
SegmentationModel,
attempt_load_one_weight,
attempt_load_weights,
guess_model_scale,
guess_model_task,
parse_model,
torch_safe_load,
yaml_model_load,
)
__all__ = (... | 587 | Python | .py | 27 | 17.407407 | 41 | 0.668459 | arojsubedi/Improved-YOLOv8s | 8 | 5 | 0 | AGPL-3.0 | 9/5/2024, 10:48:18 PM (Europe/Amsterdam) |