repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/tests/__init__.py | tests/__init__.py | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false | |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/tests/test_video_model.py | tests/test_video_model.py | import unittest
class TestVideoModel(unittest.TestCase):
def test_transformers_backbone(self):
import torch
from video_transformers import VideoModel
config = {
"backbone": {
"name": "TransformersBackbone",
"framework": {"name": "transformers",... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/tests/run_code_style.py | tests/run_code_style.py | import sys
from tests.utils import shell, validate_and_exit
if __name__ == "__main__":
arg = sys.argv[1]
if arg == "check":
sts_flake = shell("flake8 . --config setup.cfg --select=E9,F63,F7,F82")
sts_isort = shell("isort . --check --settings pyproject.toml")
sts_black = shell("black .... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/tests/test_auto_backbone.py | tests/test_auto_backbone.py | import unittest
class TestAutoBackbone(unittest.TestCase):
def test_transformers_backbone(self):
import torch
from video_transformers import AutoBackbone
config = {
"framework": {"name": "transformers"},
"type": "2d_backbone",
"model_name": "microsoft/... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/tests/test_backbone.py | tests/test_backbone.py | import unittest
class TestBackbone(unittest.TestCase):
def test_transformers_backbone(self):
import torch
from video_transformers.backbones.transformers import TransformersBackbone
config = {"model_name": "microsoft/cvt-13"}
batch_size = 2
backbone = TransformersBackbone... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/modeling.py | video_transformers/modeling.py | import json
import os
from pathlib import Path
from typing import Dict, List, Optional, Union
import torch
from huggingface_hub.constants import PYTORCH_WEIGHTS_NAME
from huggingface_hub.file_download import hf_hub_download
from huggingface_hub.hub_mixin import PyTorchModelHubMixin
from torch import nn
import video_t... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/tracking.py | video_transformers/tracking.py | import os
from typing import Optional, Union
from accelerate.logging import get_logger
from accelerate.tracking import GeneralTracker, is_tensorboard_available
from video_transformers.utils.imports import check_requirements, is_layer_available, is_neptune_available
from video_transformers.utils.logger import _flatten... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/templates.py | video_transformers/templates.py | from pathlib import Path
from typing import Any, Dict, List
def generate_labels_table(labels: List[str]) -> str:
str_1 = """
| Labels |
| :-- |
"""
str_2 = "\n".join(["| " + label + " |" for label in labels])
return str_1 + str_2
def generate_dict_to_table(_dict: Dict[str, Any]) -> str:
if not _dict... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/trainer.py | video_transformers/trainer.py | from pathlib import Path
from typing import Dict, List, Union
import numpy as np
import torch
from accelerate import Accelerator
from accelerate.logging import get_logger
from accelerate.tracking import GeneralTracker
from torch.optim.lr_scheduler import _LRScheduler
from tqdm.auto import tqdm
import video_transforme... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/schedulers.py | video_transformers/schedulers.py | import torch
def get_multistep_scheduler_with_warmup(
optimizer: torch.optim.Optimizer, max_epochs: int = 12, warmup_epochs: float = 0.1
):
"""
Torch multistep learning rate scheduler with warmup.
Decrease the learning rate at milestones by a factor of 0.1.
Milestones are chosen as 7/10 and 9/10 o... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/__init__.py | video_transformers/__init__.py | from video_transformers.auto.backbone import AutoBackbone
from video_transformers.auto.head import AutoHead
from video_transformers.auto.neck import AutoNeck
from video_transformers.modeling import TimeDistributed, VideoModel
__version__ = "0.0.9"
| python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/necks.py | video_transformers/necks.py | import math
from typing import Dict
import torch
from torch import nn
from video_transformers.utils.extra import class_to_config
class BaseNeck(nn.Module):
@property
def config(self) -> Dict:
return class_to_config(self)
class LSTMNeck(BaseNeck):
"""
(BxTxF)
↓
LSTM
... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/predict.py | video_transformers/predict.py | from collections import defaultdict
from typing import List
import pytorchvideo.data
import torch
import torch.utils.data
from iopath.common.file_io import g_pathmgr
from video_transformers.data import VideoPreprocessor
from video_transformers.pytorchvideo_wrapper.data.labeled_video_paths import LabeledVideoDataset, ... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/heads.py | video_transformers/heads.py | from typing import Dict
import torch
from torch import nn
from video_transformers.utils.extra import class_to_config
class LinearHead(nn.Module):
"""
(BxF)
↓
Dropout
↓
Linear
"""
def __init__(self, hidden_size: int, num_classes: int, dropout_p: float = 0.0):
super(Lin... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/data.py | video_transformers/data.py | from typing import Dict, Tuple
import pytorchvideo.data
import torch
import torch.utils.data
from accelerate.logging import get_logger
from pytorchvideo.transforms import (
ApplyTransformToKey,
Normalize,
RandomShortSideScale,
ShortSideScale,
UniformTemporalSubsample,
)
from torch.utils.data import... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/tasks/__init__.py | video_transformers/tasks/__init__.py | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false | |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/tasks/single_label_classification.py | video_transformers/tasks/single_label_classification.py | from typing import Any, List
import evaluate
import torch
from video_transformers.tasks.base import TaskMixin
class Combine:
# place holder for evaluate.combine till https://github.com/huggingface/evaluate/issues/234 fixed
def __init__(self, metrics: List[str]):
self.metrics = [evaluate.load(metric)... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/tasks/base.py | video_transformers/tasks/base.py | class TaskMixin:
def training_step(self, batch):
raise NotImplementedError()
def on_training_epoch_end(self):
raise NotImplementedError()
def validation_step(self, batch):
raise NotImplementedError()
def on_validation_epoch_end(self):
raise NotImplementedError()
@... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/hfhub_wrapper/__init__.py | video_transformers/hfhub_wrapper/__init__.py | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false | |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/hfhub_wrapper/hub_mixin.py | video_transformers/hfhub_wrapper/hub_mixin.py | import os
import tempfile
from pathlib import Path
from typing import List, Optional, Union
from huggingface_hub import hf_api
from huggingface_hub.hf_api import HfApi, HfFolder
from huggingface_hub.repository import Repository
from video_transformers.templates import export_hf_model_card
def push_to_hub(
self,... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/utils/file.py | video_transformers/utils/file.py | import glob
import os
import re
import urllib.request
import zipfile
from pathlib import Path
def increment_path(path, exist_ok=True, sep=""):
# Increment path, i.e. runs/exp --> runs/exp{sep}0, runs/exp{sep}1 etc.
path = Path(path) # os-agnostic
if (path.exists() and exist_ok) or (not path.exists()):
... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/utils/imports.py | video_transformers/utils/imports.py | import importlib
def is_neptune_available():
return importlib.util.find_spec("neptune") is not None
def is_layer_available():
return importlib.util.find_spec("layer") is not None
def check_requirements(package_names):
"""
Raise error if module is not installed.
"""
missing_packages = []
... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/utils/logger.py | video_transformers/utils/logger.py | from argparse import Namespace
from typing import Any, Dict, Generator, List, MutableMapping, Optional
import numpy as np
from torch import Tensor
# modified from lightning/src/pytorch_lightning/utilities/logger.py
def _flatten_dict(params: Dict[Any, Any], delimiter: str = "/") -> Dict[str, Any]:
"""Flatten hie... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/utils/extra.py | video_transformers/utils/extra.py | from typing import Any, Tuple
def class_to_config(
class_,
allowed_types: Tuple[Any] = (int, float, str, dict, list, tuple, bool),
ignored_attrs: Tuple[str] = ("config", "dump_patches", "training"), # ignore nn.Module attributes
):
"""
Converts a class attributes into a config dict.
Args:
... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/utils/__init__.py | video_transformers/utils/__init__.py | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false | |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/utils/torch.py | video_transformers/utils/torch.py | from typing import List
from torch import nn
def unfreeze_last_n_stages(stages: List[nn.Module], n: int):
if n == -1: # dont freeze if -1
return
num_stages = len(stages)
num_stages_to_freeze = num_stages - n
for i, stage in enumerate(stages):
if i >= num_stages_to_freeze:
... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/pytorchvideo_wrapper/__init__.py | video_transformers/pytorchvideo_wrapper/__init__.py | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false | |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/pytorchvideo_wrapper/data/labeled_video_dataset.py | video_transformers/pytorchvideo_wrapper/data/labeled_video_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
# Modified from https://github.com/facebookresearch/pytorchvideo/blob/9180d6d57cb9e15100ec9df3a049cf8d1121b302/pytorchvideo/data/labeled_video_dataset.py
from __future__ import annotations
import gc
import logging
from collections import default... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/pytorchvideo_wrapper/data/labeled_video_paths.py | video_transformers/pytorchvideo_wrapper/data/labeled_video_paths.py | # modified from https://github.com/facebookresearch/pytorchvideo/blob/main/pytorchvideo/data/labeled_video_paths.py
# and https://github.com/facebookresearch/pytorchvideo/blob/main/pytorchvideo/data/labeled_video_dataset.py
from __future__ import annotations
import logging
import os
import pathlib
from collections im... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/pytorchvideo_wrapper/data/__init__.py | video_transformers/pytorchvideo_wrapper/data/__init__.py | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false | |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/backbones/transformers.py | video_transformers/backbones/transformers.py | from typing import Dict
from video_transformers.backbones.base import Backbone
from video_transformers.utils.torch import unfreeze_last_n_stages as unfreeze_last_n_stages_torch
models_2d = ["convnext", "levit", "cvt", "clip", "swin", "vit", "deit", "beit", "resnet"]
models_3d = ["videomae", "timesformer"]
class Tra... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/backbones/timm.py | video_transformers/backbones/timm.py | from typing import Tuple
from torch import nn
from video_transformers.backbones.base import Backbone
from video_transformers.modeling import Identity
from video_transformers.utils.torch import unfreeze_last_n_stages as unfreeze_last_n_stages_torch
class TimmBackbone(Backbone):
def __init__(self, model_name: str... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/backbones/__init__.py | video_transformers/backbones/__init__.py | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false | |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/backbones/base.py | video_transformers/backbones/base.py | import inspect
from typing import Dict
from torch import nn
from video_transformers.utils.extra import class_to_config
from video_transformers.utils.torch import get_num_total_params, get_num_trainable_params
class Backbone(nn.Module):
def __init__(
self,
):
super(Backbone, self).__init__()
... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/deployment/__init__.py | video_transformers/deployment/__init__.py | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false | |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/deployment/gradio.py | video_transformers/deployment/gradio.py | from pathlib import Path
from typing import List
from video_transformers.templates import generate_gradio_app
def export_gradio_app(
model,
examples: List[str],
author_username: str = None,
export_dir: str = "runs/exports/",
export_filename: str = "app.py",
) -> str:
Path(export_dir).mkdir(pa... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/deployment/onnx.py | video_transformers/deployment/onnx.py | import tempfile
from pathlib import Path
from typing import Optional
import torch
from video_transformers.utils.imports import check_requirements
def export(
model,
quantize: bool = False,
opset_version: int = 12,
export_dir: str = "runs/exports/",
export_filename: str = "model.onnx",
):
"""... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/auto/backbone.py | video_transformers/auto/backbone.py | from typing import Dict, Union
from video_transformers.backbones.base import Backbone
from video_transformers.modeling import TimeDistributed
class AutoBackbone:
"""
AutoBackbone is a class that automatically instantiates a video model backbone from a config.
"""
@classmethod
def from_config(cls... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/auto/neck.py | video_transformers/auto/neck.py | from typing import Dict
from video_transformers.necks import BaseNeck
class AutoNeck:
"""
AutoNeck is a class that automatically instantiates a video model neck from a config.
"""
@classmethod
def from_config(cls, config: Dict) -> BaseNeck:
neck_class_name = config.get("name")
i... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/auto/__init__.py | video_transformers/auto/__init__.py | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false | |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/video_transformers/auto/head.py | video_transformers/auto/head.py | from typing import Dict
class AutoHead:
"""
AutoHead is a class that automatically instantiates a video model head from a config.
"""
@classmethod
def from_config(cls, config: Dict):
head_class_name = config.get("name")
if head_class_name == "LinearHead":
from video_tr... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
AIZOOTech/object-detection-anchors | https://github.com/AIZOOTech/object-detection-anchors/blob/c4f995655e4ada213ea472e87be89307feaefe36/example.py | example.py | import glob
import xml.etree.ElementTree as ET
import numpy as np
import matplotlib.pyplot as plt
from kmeans import kmeans, avg_iou
# ANNOTATIONS_PATH = "./data/pascalvoc07-annotations"
ANNOTATIONS_PATH = "./data/widerface-annotations"
CLUSTERS = 25
BBOX_NORMALIZE = True
def show_cluster(data, cluster, max_points=2... | python | MIT | c4f995655e4ada213ea472e87be89307feaefe36 | 2026-01-05T07:10:29.796063Z | false |
AIZOOTech/object-detection-anchors | https://github.com/AIZOOTech/object-detection-anchors/blob/c4f995655e4ada213ea472e87be89307feaefe36/kmeans.py | kmeans.py | import numpy as np
def iou(boxes, clusters):
"""
Calculates the Intersection over Union (IoU) between N boxes and K clusters.
:param boxes: numpy array of shape (n, 2) where n is the number of box, shifted to the origin (i. e. width and height)
:param clusters: numpy array of shape (k, 2) where k is t... | python | MIT | c4f995655e4ada213ea472e87be89307feaefe36 | 2026-01-05T07:10:29.796063Z | false |
AIZOOTech/object-detection-anchors | https://github.com/AIZOOTech/object-detection-anchors/blob/c4f995655e4ada213ea472e87be89307feaefe36/tests/test_rectangles.py | tests/test_rectangles.py | from unittest import TestCase
import numpy as np
from kmeans import kmeans
class TestBasic(TestCase):
def gen_shape(self, width, height, amount):
boxes = np.empty((amount, 2))
for i in range(0, amount):
x0 = np.random.randint(100, 1000)
y0 = np.random.randint(100, 1000)
... | python | MIT | c4f995655e4ada213ea472e87be89307feaefe36 | 2026-01-05T07:10:29.796063Z | false |
AIZOOTech/object-detection-anchors | https://github.com/AIZOOTech/object-detection-anchors/blob/c4f995655e4ada213ea472e87be89307feaefe36/tests/test_voc2007.py | tests/test_voc2007.py | import glob
import xml.etree.ElementTree as ET
from unittest import TestCase
import numpy as np
from kmeans import kmeans, avg_iou
ANNOTATIONS_PATH = "Annotations"
class TestVoc2007(TestCase):
def __load_dataset(self):
dataset = []
for xml_file in glob.glob("{}/*xml".format(ANNOTATIONS_PATH)):
... | python | MIT | c4f995655e4ada213ea472e87be89307feaefe36 | 2026-01-05T07:10:29.796063Z | false |
AIZOOTech/object-detection-anchors | https://github.com/AIZOOTech/object-detection-anchors/blob/c4f995655e4ada213ea472e87be89307feaefe36/tests/test_basic.py | tests/test_basic.py | from unittest import TestCase
import numpy as np
from kmeans import iou, avg_iou, kmeans
class TestBasic(TestCase):
def test_iou_100(self):
self.assertEqual(iou([200, 200], np.array([[200, 200]])), 1.)
def test_iou_50(self):
self.assertEqual(iou([200, 200], np.array([[100, 200]])), .5)
... | python | MIT | c4f995655e4ada213ea472e87be89307feaefe36 | 2026-01-05T07:10:29.796063Z | false |
wuhy68/Parameter-Efficient-MoE | https://github.com/wuhy68/Parameter-Efficient-MoE/blob/5e9b10be7fb55eb9a5e2c4df18e8bbaa09465a21/transformers_utils.py | transformers_utils.py | import os
import collections
import re
import shutil
import tempfile
import gc
from copy import deepcopy
import torch
from transformers.utils import logging
from transformers.pytorch_utils import id_tensor_storage
from transformers.modeling_utils import (
set_initialized_submodules,
expand_device_map,
_... | python | Apache-2.0 | 5e9b10be7fb55eb9a5e2c4df18e8bbaa09465a21 | 2026-01-05T07:10:32.628587Z | false |
wuhy68/Parameter-Efficient-MoE | https://github.com/wuhy68/Parameter-Efficient-MoE/blob/5e9b10be7fb55eb9a5e2c4df18e8bbaa09465a21/merge_moe_lora.py | merge_moe_lora.py | import transformers
from transformers import AutoModelForCausalLM, AutoTokenizer, AutoModel
from camelidae.configuration_camelidae import CamelidaeConfig
from camelidae.modeling_camelidae import LlamaForCausalLM
from peft import PeftModel
import torch
def merge_lora_to_base_model():
from transformers_utils im... | python | Apache-2.0 | 5e9b10be7fb55eb9a5e2c4df18e8bbaa09465a21 | 2026-01-05T07:10:32.628587Z | false |
wuhy68/Parameter-Efficient-MoE | https://github.com/wuhy68/Parameter-Efficient-MoE/blob/5e9b10be7fb55eb9a5e2c4df18e8bbaa09465a21/utils.py | utils.py | import dataclasses
import logging
import math
import os
import io
import sys
import time
import json
from typing import Optional, Sequence, Union
import openai
import tqdm
from openai import openai_object
import copy
StrOrOpenAIObject = Union[str, openai_object.OpenAIObject]
openai_org = os.getenv("OPENAI_ORG")
if o... | python | Apache-2.0 | 5e9b10be7fb55eb9a5e2c4df18e8bbaa09465a21 | 2026-01-05T07:10:32.628587Z | false |
wuhy68/Parameter-Efficient-MoE | https://github.com/wuhy68/Parameter-Efficient-MoE/blob/5e9b10be7fb55eb9a5e2c4df18e8bbaa09465a21/train_moe.py | train_moe.py | # Copyright 2023 Rohan Taori, Ishaan Gulrajani, Tianyi Zhang, Yann Dubois, Xuechen Li
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LIC... | python | Apache-2.0 | 5e9b10be7fb55eb9a5e2c4df18e8bbaa09465a21 | 2026-01-05T07:10:32.628587Z | false |
wuhy68/Parameter-Efficient-MoE | https://github.com/wuhy68/Parameter-Efficient-MoE/blob/5e9b10be7fb55eb9a5e2c4df18e8bbaa09465a21/train_qlora.py | train_qlora.py | # Copyright 2023 Rohan Taori, Ishaan Gulrajani, Tianyi Zhang, Yann Dubois, Xuechen Li
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LIC... | python | Apache-2.0 | 5e9b10be7fb55eb9a5e2c4df18e8bbaa09465a21 | 2026-01-05T07:10:32.628587Z | false |
wuhy68/Parameter-Efficient-MoE | https://github.com/wuhy68/Parameter-Efficient-MoE/blob/5e9b10be7fb55eb9a5e2c4df18e8bbaa09465a21/camelidae/modeling_camelidae.py | camelidae/modeling_camelidae.py | # coding=utf-8
# Copyright 2022 EleutherAI and the HuggingFace Inc. team. All rights reserved.
#
# This code is based on EleutherAI's GPT-NeoX library and the GPT-NeoX
# and OPT implementations in this library. It has been modified from its
# original forms to accommodate minor architectural differences compared
# to G... | python | Apache-2.0 | 5e9b10be7fb55eb9a5e2c4df18e8bbaa09465a21 | 2026-01-05T07:10:32.628587Z | true |
wuhy68/Parameter-Efficient-MoE | https://github.com/wuhy68/Parameter-Efficient-MoE/blob/5e9b10be7fb55eb9a5e2c4df18e8bbaa09465a21/camelidae/configuration_camelidae.py | camelidae/configuration_camelidae.py | # coding=utf-8
# Copyright 2022 EleutherAI and the HuggingFace Inc. team. All rights reserved.
#
# This code is based on EleutherAI's GPT-NeoX library and the GPT-NeoX
# and OPT implementations in this library. It has been modified from its
# original forms to accommodate minor architectural differences compared
# to G... | python | Apache-2.0 | 5e9b10be7fb55eb9a5e2c4df18e8bbaa09465a21 | 2026-01-05T07:10:32.628587Z | false |
niwanbernardo/excluir-email-outlook | https://github.com/niwanbernardo/excluir-email-outlook/blob/a592b104414aad8240569ebb41e349657293504d/excluir_emails_spam_outlook.py | excluir_emails_spam_outlook.py | import win32com.client
from win32com.client import Dispatch
import traceback
def excluir_emails(remetentes_para_excluir):
try:
# Conectando ao Outlook
outlook = Dispatch("Outlook.Application").GetNamespace("MAPI")
inbox = outlook.GetDefaultFolder(6) # 6 representa a Caixa de Entrada
... | python | MIT | a592b104414aad8240569ebb41e349657293504d | 2026-01-05T07:10:34.382370Z | false |
niwanbernardo/excluir-email-outlook | https://github.com/niwanbernardo/excluir-email-outlook/blob/a592b104414aad8240569ebb41e349657293504d/recuperar_emails_spam_outlook.py | recuperar_emails_spam_outlook.py | import win32com.client
from win32com.client import Dispatch
import traceback
def recuperar_emails(remetentes_para_recuperar):
try:
# Conectando ao Outlook
outlook = Dispatch("Outlook.Application").GetNamespace("MAPI")
# Acessando a pasta de Itens Excluídos (3 representa "Deleted It... | python | MIT | a592b104414aad8240569ebb41e349657293504d | 2026-01-05T07:10:34.382370Z | false |
Ning-Ding/Implementation-CVPR2015-CNN-for-ReID | https://github.com/Ning-Ding/Implementation-CVPR2015-CNN-for-ReID/blob/8d0a2882f7158c4b99e3c1d4d0e14c515b07a838/src/__init__.py | src/__init__.py | """
CVPR 2015 CNN for Person Re-Identification
PyTorch Implementation - Educational Refactoring
基于 CVPR 2015 论文《An Improved Deep Learning Architecture for Person Re-Identification》
的 PyTorch 现代化实现，面向教学和学习。
"""
__version__ = "2.0.0"
__author__ = "Ning Ding (Original), Refactored by AI"
__license__ = "MIT"
from src im... | python | MIT | 8d0a2882f7158c4b99e3c1d4d0e14c515b07a838 | 2026-01-05T07:10:35.093069Z | false |
Ning-Ding/Implementation-CVPR2015-CNN-for-ReID | https://github.com/Ning-Ding/Implementation-CVPR2015-CNN-for-ReID/blob/8d0a2882f7158c4b99e3c1d4d0e14c515b07a838/src/scripts/train.py | src/scripts/train.py | """
Training script for Person Re-Identification
训练脚本
Usage:
reid-train --config config/cuhk03.yaml
Or directly:
python -m src.scripts.train --config config/cuhk03.yaml
"""
import argparse
from pathlib import Path
import yaml
import torch
import pytorch_lightning as pl
from pytorch_lightning.callbacks im... | python | MIT | 8d0a2882f7158c4b99e3c1d4d0e14c515b07a838 | 2026-01-05T07:10:35.093069Z | false |
Ning-Ding/Implementation-CVPR2015-CNN-for-ReID | https://github.com/Ning-Ding/Implementation-CVPR2015-CNN-for-ReID/blob/8d0a2882f7158c4b99e3c1d4d0e14c515b07a838/src/scripts/__init__.py | src/scripts/__init__.py | """
Training and evaluation scripts for Person Re-Identification
用于人员重识别的训练和评估脚本
"""
__all__ = ["train"]
| python | MIT | 8d0a2882f7158c4b99e3c1d4d0e14c515b07a838 | 2026-01-05T07:10:35.093069Z | false |
Ning-Ding/Implementation-CVPR2015-CNN-for-ReID | https://github.com/Ning-Ding/Implementation-CVPR2015-CNN-for-ReID/blob/8d0a2882f7158c4b99e3c1d4d0e14c515b07a838/src/models/__init__.py | src/models/__init__.py | """
Models module for Person Re-Identification
模型模块
包含 Siamese CNN 及其变体实现
"""
from .layers import (
CrossInputNeighborhoodDifferences,
PatchSummaryConv,
TiedConvBlock,
)
from .siamese_cnn import SiameseCNN, create_siamese_cnn
from .lightning_module import ReIDLightningModule, ContrastiveLoss, PolynomialLR... | python | MIT | 8d0a2882f7158c4b99e3c1d4d0e14c515b07a838 | 2026-01-05T07:10:35.093069Z | false |
Ning-Ding/Implementation-CVPR2015-CNN-for-ReID | https://github.com/Ning-Ding/Implementation-CVPR2015-CNN-for-ReID/blob/8d0a2882f7158c4b99e3c1d4d0e14c515b07a838/src/models/lightning_module.py | src/models/lightning_module.py | """
PyTorch Lightning Module for Person Re-Identification
人员重识别 PyTorch Lightning 模块
将模型、损失函数、优化器等封装到 Lightning 模块中，
简化训练、验证和测试流程
"""
import torch
import torch.nn as nn
import torch.nn.functional as F
import pytorch_lightning as pl
from typing import Dict, Any, Optional, Tuple
from torch.optim import Optimizer
from t... | python | MIT | 8d0a2882f7158c4b99e3c1d4d0e14c515b07a838 | 2026-01-05T07:10:35.093069Z | false |
Ning-Ding/Implementation-CVPR2015-CNN-for-ReID | https://github.com/Ning-Ding/Implementation-CVPR2015-CNN-for-ReID/blob/8d0a2882f7158c4b99e3c1d4d0e14c515b07a838/src/models/layers.py | src/models/layers.py | """
Custom layers for Person Re-Identification
自定义层实现
包含 CVPR 2015 论文中的 Cross-Input Neighborhood Differences 层等创新结构
"""
import torch
import torch.nn as nn
import torch.nn.functional as F
from typing import Tuple
class CrossInputNeighborhoodDifferences(nn.Module):
"""
Cross-Input Neighborhood Differences Lay... | python | MIT | 8d0a2882f7158c4b99e3c1d4d0e14c515b07a838 | 2026-01-05T07:10:35.093069Z | false |
Ning-Ding/Implementation-CVPR2015-CNN-for-ReID | https://github.com/Ning-Ding/Implementation-CVPR2015-CNN-for-ReID/blob/8d0a2882f7158c4b99e3c1d4d0e14c515b07a838/src/models/siamese_cnn.py | src/models/siamese_cnn.py | """
Siamese CNN for Person Re-Identification
用于人员重识别的孪生卷积神经网络
实现 CVPR 2015 论文: "An Improved Deep Learning Architecture for Person Re-Identification"
网络结构:
1. Tied Convolution Layers (权重共享)
2. Cross-Input Neighborhood Differences (交叉输入邻域差异)
3. Patch Summary Features (图块摘要特征)
4. Across-Patch Features (跨图块特征)
5. Fully C... | python | MIT | 8d0a2882f7158c4b99e3c1d4d0e14c515b07a838 | 2026-01-05T07:10:35.093069Z | false |
Ning-Ding/Implementation-CVPR2015-CNN-for-ReID | https://github.com/Ning-Ding/Implementation-CVPR2015-CNN-for-ReID/blob/8d0a2882f7158c4b99e3c1d4d0e14c515b07a838/src/utils/logger.py | src/utils/logger.py | """
Logging utilities
日志工具
"""
import logging
import sys
from pathlib import Path
from typing import Optional
from rich.logging import RichHandler
from rich.console import Console
def setup_logger(
name: str = "reid",
log_file: Optional[str] = None,
level: int = logging.INFO,
use_rich: bool = True,
)... | python | MIT | 8d0a2882f7158c4b99e3c1d4d0e14c515b07a838 | 2026-01-05T07:10:35.093069Z | false |
Ning-Ding/Implementation-CVPR2015-CNN-for-ReID | https://github.com/Ning-Ding/Implementation-CVPR2015-CNN-for-ReID/blob/8d0a2882f7158c4b99e3c1d4d0e14c515b07a838/src/utils/__init__.py | src/utils/__init__.py | """
Utilities module
工具模块
"""
from .logger import setup_logger, get_logger
from .visualization import plot_cmc_curve, plot_training_curves
__all__ = [
"setup_logger",
"get_logger",
"plot_cmc_curve",
"plot_training_curves",
]
| python | MIT | 8d0a2882f7158c4b99e3c1d4d0e14c515b07a838 | 2026-01-05T07:10:35.093069Z | false |
Ning-Ding/Implementation-CVPR2015-CNN-for-ReID | https://github.com/Ning-Ding/Implementation-CVPR2015-CNN-for-ReID/blob/8d0a2882f7158c4b99e3c1d4d0e14c515b07a838/src/utils/visualization.py | src/utils/visualization.py | """
Visualization utilities
可视化工具
"""
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
from pathlib import Path
from typing import Optional, List
def plot_cmc_curve(
cmc: np.ndarray,
save_path: Optional[str] = None,
title: str = "CMC Curve",
max_rank: int = 50,
):
"""绘制 CM... | python | MIT | 8d0a2882f7158c4b99e3c1d4d0e14c515b07a838 | 2026-01-05T07:10:35.093069Z | false |
Ning-Ding/Implementation-CVPR2015-CNN-for-ReID | https://github.com/Ning-Ding/Implementation-CVPR2015-CNN-for-ReID/blob/8d0a2882f7158c4b99e3c1d4d0e14c515b07a838/src/training/__init__.py | src/training/__init__.py | python | MIT | 8d0a2882f7158c4b99e3c1d4d0e14c515b07a838 | 2026-01-05T07:10:35.093069Z | false | |
Ning-Ding/Implementation-CVPR2015-CNN-for-ReID | https://github.com/Ning-Ding/Implementation-CVPR2015-CNN-for-ReID/blob/8d0a2882f7158c4b99e3c1d4d0e14c515b07a838/src/config/__init__.py | src/config/__init__.py | python | MIT | 8d0a2882f7158c4b99e3c1d4d0e14c515b07a838 | 2026-01-05T07:10:35.093069Z | false | |
Ning-Ding/Implementation-CVPR2015-CNN-for-ReID | https://github.com/Ning-Ding/Implementation-CVPR2015-CNN-for-ReID/blob/8d0a2882f7158c4b99e3c1d4d0e14c515b07a838/src/data/market1501_dataset.py | src/data/market1501_dataset.py | """
Market-1501 Dataset for Person Re-Identification
Market-1501 人员重识别数据集
Market-1501 是一个大规模的 ReID 数据集，包含从 6 个摄像头收集的数据。
Dataset Structure / 数据集结构:
bounding_box_train/ - 训练集图像
bounding_box_test/ - Gallery 图像
query/ - Query 图像
Filename Format / 文件命名格式:
XXXX_cY_sZ_NNNNNN.jpg
- XXXX:... | python | MIT | 8d0a2882f7158c4b99e3c1d4d0e14c515b07a838 | 2026-01-05T07:10:35.093069Z | false |
Ning-Ding/Implementation-CVPR2015-CNN-for-ReID | https://github.com/Ning-Ding/Implementation-CVPR2015-CNN-for-ReID/blob/8d0a2882f7158c4b99e3c1d4d0e14c515b07a838/src/data/base_dataset.py | src/data/base_dataset.py | """
Base dataset class for Person Re-Identification
人员重识别数据集基类
提供统一的数据集接口和通用功能
"""
from abc import ABC, abstractmethod
from typing import Optional, Tuple, Dict, Any, Literal, List
from pathlib import Path
import numpy as np
import torch
from torch.utils.data import Dataset
import albumentations as A
class BaseReIDD... | python | MIT | 8d0a2882f7158c4b99e3c1d4d0e14c515b07a838 | 2026-01-05T07:10:35.093069Z | false |
Ning-Ding/Implementation-CVPR2015-CNN-for-ReID | https://github.com/Ning-Ding/Implementation-CVPR2015-CNN-for-ReID/blob/8d0a2882f7158c4b99e3c1d4d0e14c515b07a838/src/data/cuhk03_dataset.py | src/data/cuhk03_dataset.py | """
CUHK03 Dataset for Person Re-Identification
CUHK03 人员重识别数据集
CUHK03 是最经典的 ReID 数据集之一，包含 1467 个身份，每个身份有多个视角的图像。
Dataset Structure / 数据集结构:
- 原始文件: cuhk-03.mat (MATLAB格式)
- 处理后: cuhk-03.hdf5 (按 identity 组织)
- 索引文件: cuhk-03-index.hdf5 (train/val/test split)
Reference:
Li et al., "DeepReID: Deep Filte... | python | MIT | 8d0a2882f7158c4b99e3c1d4d0e14c515b07a838 | 2026-01-05T07:10:35.093069Z | false |
Ning-Ding/Implementation-CVPR2015-CNN-for-ReID | https://github.com/Ning-Ding/Implementation-CVPR2015-CNN-for-ReID/blob/8d0a2882f7158c4b99e3c1d4d0e14c515b07a838/src/data/__init__.py | src/data/__init__.py | """
Data processing module for Person Re-Identification
数据处理模块
包含数据集类、数据增强和数据加载工具
"""
from .base_dataset import BaseReIDDataset, PairSamplingStrategy
from .cuhk03_dataset import CUHK03Dataset
from .market1501_dataset import Market1501Dataset
from .transforms import (
get_train_transforms,
get_val_transforms,
... | python | MIT | 8d0a2882f7158c4b99e3c1d4d0e14c515b07a838 | 2026-01-05T07:10:35.093069Z | false |
Ning-Ding/Implementation-CVPR2015-CNN-for-ReID | https://github.com/Ning-Ding/Implementation-CVPR2015-CNN-for-ReID/blob/8d0a2882f7158c4b99e3c1d4d0e14c515b07a838/src/data/transforms.py | src/data/transforms.py | """
Data augmentation and transformation utilities
数据增强和转换工具
使用 Albumentations 库提供高性能的数据增强
"""
from typing import Dict, Any, Optional
import albumentations as A
from albumentations.pytorch import ToTensorV2
import cv2
def get_train_transforms(
image_size: tuple[int, int] = (160, 60),
shift_limit: float = 0.... | python | MIT | 8d0a2882f7158c4b99e3c1d4d0e14c515b07a838 | 2026-01-05T07:10:35.093069Z | false |
Ning-Ding/Implementation-CVPR2015-CNN-for-ReID | https://github.com/Ning-Ding/Implementation-CVPR2015-CNN-for-ReID/blob/8d0a2882f7158c4b99e3c1d4d0e14c515b07a838/src/evaluation/metrics.py | src/evaluation/metrics.py | """
Evaluation metrics for Person Re-Identification
人员重识别评估指标
实现 CMC (Cumulative Matching Characteristic) 和 mAP (mean Average Precision)
"""
import numpy as np
import torch
from typing import Tuple, List, Optional
from sklearn.metrics import average_precision_score
def compute_distance_matrix(
query_features: t... | python | MIT | 8d0a2882f7158c4b99e3c1d4d0e14c515b07a838 | 2026-01-05T07:10:35.093069Z | false |
Ning-Ding/Implementation-CVPR2015-CNN-for-ReID | https://github.com/Ning-Ding/Implementation-CVPR2015-CNN-for-ReID/blob/8d0a2882f7158c4b99e3c1d4d0e14c515b07a838/src/evaluation/__init__.py | src/evaluation/__init__.py | """
Evaluation module
评估模块
"""
from .metrics import (
compute_distance_matrix,
compute_cmc,
compute_map,
evaluate_reid,
)
__all__ = [
"compute_distance_matrix",
"compute_cmc",
"compute_map",
"evaluate_reid",
]
| python | MIT | 8d0a2882f7158c4b99e3c1d4d0e14c515b07a838 | 2026-01-05T07:10:35.093069Z | false |
Ning-Ding/Implementation-CVPR2015-CNN-for-ReID | https://github.com/Ning-Ding/Implementation-CVPR2015-CNN-for-ReID/blob/8d0a2882f7158c4b99e3c1d4d0e14c515b07a838/tests/test_identity_mapping_fix.py | tests/test_identity_mapping_fix.py | """
Test to verify the person ID mapping bug fix
验证 Person ID 映射 Bug 修复的测试
"""
import numpy as np
import torch
def test_identity_mapping():
"""
测试 identity_list 映射是否正确工作
"""
print("Testing identity mapping bug fix...")
print("=" * 60)
# 模拟 CUHK03 场景: person IDs 是打乱的 0-1359
print("\n1. CU... | python | MIT | 8d0a2882f7158c4b99e3c1d4d0e14c515b07a838 | 2026-01-05T07:10:35.093069Z | false |
Ning-Ding/Implementation-CVPR2015-CNN-for-ReID | https://github.com/Ning-Ding/Implementation-CVPR2015-CNN-for-ReID/blob/8d0a2882f7158c4b99e3c1d4d0e14c515b07a838/legacy/CUHK03/main.py | legacy/CUHK03/main.py | # -*- coding: utf-8 -*-
# --------------------------------------------------------
# Implementation-CVPR2015-CNN-for-ReID
# Copyright (c) 2017 Ning Ding
# Licensed under The MIT License [see LICENSE for details]
# Written by Ning Ding
# --------------------------------------------------------
import os
import sys
impo... | python | MIT | 8d0a2882f7158c4b99e3c1d4d0e14c515b07a838 | 2026-01-05T07:10:35.093069Z | false |
Ning-Ding/Implementation-CVPR2015-CNN-for-ReID | https://github.com/Ning-Ding/Implementation-CVPR2015-CNN-for-ReID/blob/8d0a2882f7158c4b99e3c1d4d0e14c515b07a838/legacy/market1501/model_for_market1501.py | legacy/market1501/model_for_market1501.py | # -*- coding: utf-8 -*-
import numpy as np
np.random.seed(1217)
import h5py
import tensorflow as tf
tf.python.control_flow_ops = tf
from PIL import Image
from keras import backend as K
from keras.models import Model
from keras.layers import Input,Dense,Convolution2D,Activation,MaxPooling2D,Flatten,merge
from keras.regu... | python | MIT | 8d0a2882f7158c4b99e3c1d4d0e14c515b07a838 | 2026-01-05T07:10:35.093069Z | false |
Ning-Ding/Implementation-CVPR2015-CNN-for-ReID | https://github.com/Ning-Ding/Implementation-CVPR2015-CNN-for-ReID/blob/8d0a2882f7158c4b99e3c1d4d0e14c515b07a838/legacy/market1501/make_hdf5_for_market1501.py | legacy/market1501/make_hdf5_for_market1501.py | # -*- coding: utf-8 -*-
import os
import h5py
import numpy as np
from PIL import Image
def make_positive_index_market1501(train_or_test = 'train',user_name = 'ubuntu'):
f = h5py.File('market1501_positive_index.h5')
path_list = get_image_path_list(train_or_test = train_or_test, system_user_name = user_name)
... | python | MIT | 8d0a2882f7158c4b99e3c1d4d0e14c515b07a838 | 2026-01-05T07:10:35.093069Z | false |
simplecto/screenshots | https://github.com/simplecto/screenshots/blob/7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b/gunicorn_settings.py | gunicorn_settings.py | bind = "0.0.0.0:8000"
workers = 2
pythonpath = '/app/config'
forwarded_allow_ips = '*'
| python | MIT | 7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b | 2026-01-05T07:10:39.014827Z | false |
simplecto/screenshots | https://github.com/simplecto/screenshots/blob/7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b/src/manage.py | src/manage.py | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'config.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportE... | python | MIT | 7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b | 2026-01-05T07:10:39.014827Z | false |
simplecto/screenshots | https://github.com/simplecto/screenshots/blob/7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b/src/shots/views.py | src/shots/views.py | import json
from django import forms
from django.http import HttpResponse, JsonResponse
from django.shortcuts import render, redirect, get_object_or_404
from shots.models import ScreenShot
from django.forms import ModelForm
from django.views.decorators.http import require_http_methods
from django.views.decorators.http ... | python | MIT | 7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b | 2026-01-05T07:10:39.014827Z | false |
simplecto/screenshots | https://github.com/simplecto/screenshots/blob/7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b/src/shots/admin.py | src/shots/admin.py | from django.contrib import admin
from .models import ScreenShot
def reset_status(modeladmin, request, queryset):
queryset.update(status=ScreenShot.NEW)
def reset_status_to_failed(modeladmin, request, queryset):
queryset.update(status=ScreenShot.FAILURE)
reset_status.short_description = "Reset status to NEW ... | python | MIT | 7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b | 2026-01-05T07:10:39.014827Z | false |
simplecto/screenshots | https://github.com/simplecto/screenshots/blob/7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b/src/shots/models.py | src/shots/models.py | from django.db.models import JSONField
from django.db import models
import uuid
from django.conf import settings
from django.core import validators
from shots.validators import validate_hostname_dns
from django.shortcuts import reverse
class ScreenShot(models.Model):
NEW = 'N'
PENDING = 'P'
SUCCESS = 'S'... | python | MIT | 7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b | 2026-01-05T07:10:39.014827Z | false |
simplecto/screenshots | https://github.com/simplecto/screenshots/blob/7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b/src/shots/validators.py | src/shots/validators.py | from django.core.exceptions import ValidationError
import socket
from urllib.parse import urlparse
def validate_hostname_dns(value):
domain = urlparse(value).netloc.split(':')[0]
if len(domain) == 0:
raise ValidationError(f"Domain name is required")
try:
socket.gethostbyname(domain)
... | python | MIT | 7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b | 2026-01-05T07:10:39.014827Z | false |
simplecto/screenshots | https://github.com/simplecto/screenshots/blob/7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b/src/shots/__init__.py | src/shots/__init__.py | python | MIT | 7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b | 2026-01-05T07:10:39.014827Z | false | |
simplecto/screenshots | https://github.com/simplecto/screenshots/blob/7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b/src/shots/tests.py | src/shots/tests.py | from django.test import TestCase
import json
from django.urls import reverse
from shots.models import ScreenShot
from django.http import HttpResponse, JsonResponse
class TestScreenShotAPI(TestCase):
def setUp(self) -> None:
self.api_url = reverse('api-screenshot')
def do_post(self, data) -> JsonResp... | python | MIT | 7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b | 2026-01-05T07:10:39.014827Z | false |
simplecto/screenshots | https://github.com/simplecto/screenshots/blob/7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b/src/shots/apps.py | src/shots/apps.py | from django.apps import AppConfig
class ShotsConfig(AppConfig):
name = 'shots'
| python | MIT | 7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b | 2026-01-05T07:10:39.014827Z | false |
simplecto/screenshots | https://github.com/simplecto/screenshots/blob/7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b/src/shots/screenshot_driver.py | src/shots/screenshot_driver.py | from time import sleep
import os
from selenium import webdriver
from selenium.webdriver.firefox.options import Options
from selenium.common.exceptions import NoSuchElementException, WebDriverException, TimeoutException
from django.conf import settings
from sentry_sdk import capture_exception
from PIL import Image
impor... | python | MIT | 7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b | 2026-01-05T07:10:39.014827Z | false |
simplecto/screenshots | https://github.com/simplecto/screenshots/blob/7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b/src/shots/templatetags/__init__.py | src/shots/templatetags/__init__.py | python | MIT | 7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b | 2026-01-05T07:10:39.014827Z | false | |
simplecto/screenshots | https://github.com/simplecto/screenshots/blob/7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b/src/shots/management/__init__.py | src/shots/management/__init__.py | python | MIT | 7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b | 2026-01-05T07:10:39.014827Z | false | |
simplecto/screenshots | https://github.com/simplecto/screenshots/blob/7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b/src/shots/management/commands/screenshot_worker.py | src/shots/management/commands/screenshot_worker.py | from django.core.management.base import BaseCommand, CommandError
from selenium import webdriver
from time import sleep
from shots.models import ScreenShot
from django.conf import settings
class Command(BaseCommand):
help = 'Run the screenshot worker'
def handle(self, *args, **options):
while Tru... | python | MIT | 7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b | 2026-01-05T07:10:39.014827Z | false |
simplecto/screenshots | https://github.com/simplecto/screenshots/blob/7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b/src/shots/management/commands/upload_to_bucket.py | src/shots/management/commands/upload_to_bucket.py | import glob
from time import sleep
from pathlib import Path
import boto3
from django.core.management.base import BaseCommand, CommandError
from django.conf import settings
import sys
import signal
# https://www.simplecto.com/using-django-and-boto3-with-scaleway-object-storage/
class Command(BaseCommand):
help = '... | python | MIT | 7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b | 2026-01-05T07:10:39.014827Z | false |
simplecto/screenshots | https://github.com/simplecto/screenshots/blob/7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b/src/shots/management/commands/screenshot_worker_ff.py | src/shots/management/commands/screenshot_worker_ff.py | import requests
from django.core.files import File
from django.core.management.base import BaseCommand, CommandError
from django.utils import timezone
from time import sleep
from shots.models import ScreenShot
import random
from django.core.cache import cache
from django.core.cache import caches
from shots.screenshot_d... | python | MIT | 7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b | 2026-01-05T07:10:39.014827Z | false |
simplecto/screenshots | https://github.com/simplecto/screenshots/blob/7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b/src/shots/management/commands/__init__.py | src/shots/management/commands/__init__.py | python | MIT | 7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b | 2026-01-05T07:10:39.014827Z | false | |
simplecto/screenshots | https://github.com/simplecto/screenshots/blob/7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b/src/shots/management/commands/cleanup_7day_old.py | src/shots/management/commands/cleanup_7day_old.py | from datetime import timedelta
from time import sleep
from django.core.management.base import BaseCommand, CommandError
from django.utils import timezone
from shots.models import ScreenShot
class Command(BaseCommand):
help = 'Remove screenshots mor than 7 days old'
def handle(self, *args, **options):
... | python | MIT | 7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b | 2026-01-05T07:10:39.014827Z | false |
simplecto/screenshots | https://github.com/simplecto/screenshots/blob/7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b/src/shots/migrations/0018_screenshot_dpi.py | src/shots/migrations/0018_screenshot_dpi.py | # Generated by Django 3.0.3 on 2020-03-08 02:03
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('shots', '0017_screenshot_sleep_seconds'),
]
operations = [
migrations.AddField(
model_name='screenshot',
name='dpi',... | python | MIT | 7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b | 2026-01-05T07:10:39.014827Z | false |
simplecto/screenshots | https://github.com/simplecto/screenshots/blob/7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b/src/shots/migrations/0019_auto_20200315_1818.py | src/shots/migrations/0019_auto_20200315_1818.py | # Generated by Django 3.0.3 on 2020-03-15 18:18
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('shots', '0018_screenshot_dpi'),
]
operations = [
migrations.AddField(
model_name='screenshot',
name='description',
... | python | MIT | 7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b | 2026-01-05T07:10:39.014827Z | false |
simplecto/screenshots | https://github.com/simplecto/screenshots/blob/7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b/src/shots/migrations/0010_auto_20200209_2152.py | src/shots/migrations/0010_auto_20200209_2152.py | # Generated by Django 3.0.2 on 2020-02-09 21:52
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('shots', '0009_auto_20200209_1605'),
]
operations = [
migrations.AddField(
model_name='screenshot',
name='base64_full... | python | MIT | 7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b | 2026-01-05T07:10:39.014827Z | false |
simplecto/screenshots | https://github.com/simplecto/screenshots/blob/7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b/src/shots/migrations/0017_screenshot_sleep_seconds.py | src/shots/migrations/0017_screenshot_sleep_seconds.py | # Generated by Django 3.0.3 on 2020-03-07 23:17
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('shots', '0016_auto_20200228_1053'),
]
operations = [
migrations.AddField(
model_name='screenshot',
name='sleep_secon... | python | MIT | 7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b | 2026-01-05T07:10:39.014827Z | false |
simplecto/screenshots | https://github.com/simplecto/screenshots/blob/7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b/src/shots/migrations/0022_remove_screenshot_image_binary.py | src/shots/migrations/0022_remove_screenshot_image_binary.py | # Generated by Django 3.0.3 on 2020-03-21 18:24
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('shots', '0021_screenshot_file'),
]
operations = [
migrations.RemoveField(
model_name='screenshot',
name='image_binary',
... | python | MIT | 7171ef6fbb9a67bc68a2cc5d70671fd7cc78415b | 2026-01-05T07:10:39.014827Z | false |
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