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 |
|---|---|---|---|---|---|---|---|---|
bbmokhtari/django-translations | https://github.com/bbmokhtari/django-translations/blob/9dc21b3beff0a71a01663095f4ca7eb98b60b64e/sample/__init__.py | sample/__init__.py | python | BSD-3-Clause | 9dc21b3beff0a71a01663095f4ca7eb98b60b64e | 2026-01-05T07:08:43.795656Z | false | |
bbmokhtari/django-translations | https://github.com/bbmokhtari/django-translations/blob/9dc21b3beff0a71a01663095f4ca7eb98b60b64e/sample/apps.py | sample/apps.py | from django.apps import AppConfig
class SampleConfig(AppConfig):
name = 'sample'
| python | BSD-3-Clause | 9dc21b3beff0a71a01663095f4ca7eb98b60b64e | 2026-01-05T07:08:43.795656Z | false |
bbmokhtari/django-translations | https://github.com/bbmokhtari/django-translations/blob/9dc21b3beff0a71a01663095f4ca7eb98b60b64e/sample/urls.py | sample/urls.py | from django.urls import path
from sample import views
app_name = 'sample'
urlpatterns = [
path(
'continent/list/',
views.ContinentListView.as_view(),
name='continent_list'
),
path(
'continent/<str:pk>/',
views.ContinentView.as_view(),
name='continent_detail... | python | BSD-3-Clause | 9dc21b3beff0a71a01663095f4ca7eb98b60b64e | 2026-01-05T07:08:43.795656Z | false |
bbmokhtari/django-translations | https://github.com/bbmokhtari/django-translations/blob/9dc21b3beff0a71a01663095f4ca7eb98b60b64e/sample/migrations/0001_initial.py | sample/migrations/0001_initial.py | # Generated by Django 2.1.7 on 2019-03-15 15:21
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='City',
fields=[
... | python | BSD-3-Clause | 9dc21b3beff0a71a01663095f4ca7eb98b60b64e | 2026-01-05T07:08:43.795656Z | false |
bbmokhtari/django-translations | https://github.com/bbmokhtari/django-translations/blob/9dc21b3beff0a71a01663095f4ca7eb98b60b64e/sample/migrations/__init__.py | sample/migrations/__init__.py | python | BSD-3-Clause | 9dc21b3beff0a71a01663095f4ca7eb98b60b64e | 2026-01-05T07:08:43.795656Z | false | |
langchain-ai/retrieval-agent-template | https://github.com/langchain-ai/retrieval-agent-template/blob/062c3400e51a3b25351a7dfe8f0446a1d4713fb8/src/retrieval_graph/graph.py | src/retrieval_graph/graph.py | """Main entrypoint for the conversational retrieval graph.
This module defines the core structure and functionality of the conversational
retrieval graph. It includes the main graph definition, state management,
and key functions for processing user inputs, generating queries, retrieving
relevant documents, and formul... | python | MIT | 062c3400e51a3b25351a7dfe8f0446a1d4713fb8 | 2026-01-05T07:08:44.673033Z | false |
langchain-ai/retrieval-agent-template | https://github.com/langchain-ai/retrieval-agent-template/blob/062c3400e51a3b25351a7dfe8f0446a1d4713fb8/src/retrieval_graph/prompts.py | src/retrieval_graph/prompts.py | """Default prompts."""
RESPONSE_SYSTEM_PROMPT = """You are a helpful AI assistant. Answer the user's questions based on the retrieved documents.
{retrieved_docs}
System time: {system_time}"""
QUERY_SYSTEM_PROMPT = """Generate search queries to retrieve documents that may help answer the user's question. Previously, ... | python | MIT | 062c3400e51a3b25351a7dfe8f0446a1d4713fb8 | 2026-01-05T07:08:44.673033Z | false |
langchain-ai/retrieval-agent-template | https://github.com/langchain-ai/retrieval-agent-template/blob/062c3400e51a3b25351a7dfe8f0446a1d4713fb8/src/retrieval_graph/state.py | src/retrieval_graph/state.py | """State management for the retrieval graph.
This module defines the state structures and reduction functions used in the
retrieval graph. It includes definitions for document indexing, retrieval,
and conversation management.
Classes:
IndexState: Represents the state for document indexing operations.
Retrieva... | python | MIT | 062c3400e51a3b25351a7dfe8f0446a1d4713fb8 | 2026-01-05T07:08:44.673033Z | false |
langchain-ai/retrieval-agent-template | https://github.com/langchain-ai/retrieval-agent-template/blob/062c3400e51a3b25351a7dfe8f0446a1d4713fb8/src/retrieval_graph/configuration.py | src/retrieval_graph/configuration.py | """Define the configurable parameters for the agent."""
from __future__ import annotations
from dataclasses import dataclass, field, fields
from typing import Annotated, Any, Literal, Type, TypeVar
from langchain_core.runnables import RunnableConfig, ensure_config
from retrieval_graph import prompts
@dataclass(kw... | python | MIT | 062c3400e51a3b25351a7dfe8f0446a1d4713fb8 | 2026-01-05T07:08:44.673033Z | false |
langchain-ai/retrieval-agent-template | https://github.com/langchain-ai/retrieval-agent-template/blob/062c3400e51a3b25351a7dfe8f0446a1d4713fb8/src/retrieval_graph/retrieval.py | src/retrieval_graph/retrieval.py | """Manage the configuration of various retrievers.
This module provides functionality to create and manage retrievers for different
vector store backends, specifically Elasticsearch, Pinecone, and MongoDB.
The retrievers support filtering results by user_id to ensure data isolation between users.
"""
import os
from ... | python | MIT | 062c3400e51a3b25351a7dfe8f0446a1d4713fb8 | 2026-01-05T07:08:44.673033Z | false |
langchain-ai/retrieval-agent-template | https://github.com/langchain-ai/retrieval-agent-template/blob/062c3400e51a3b25351a7dfe8f0446a1d4713fb8/src/retrieval_graph/utils.py | src/retrieval_graph/utils.py | """Utility functions for the retrieval graph.
This module contains utility functions for handling messages, documents,
and other common operations in project.
Functions:
get_message_text: Extract text content from various message formats.
format_docs: Convert documents to an xml-formatted string.
"""
from l... | python | MIT | 062c3400e51a3b25351a7dfe8f0446a1d4713fb8 | 2026-01-05T07:08:44.673033Z | false |
langchain-ai/retrieval-agent-template | https://github.com/langchain-ai/retrieval-agent-template/blob/062c3400e51a3b25351a7dfe8f0446a1d4713fb8/src/retrieval_graph/index_graph.py | src/retrieval_graph/index_graph.py | """This "graph" simply exposes an endpoint for a user to upload docs to be indexed."""
from typing import Sequence
from langchain_core.documents import Document
from langchain_core.runnables import RunnableConfig
from langgraph.graph import StateGraph
from retrieval_graph import retrieval
from retrieval_graph.config... | python | MIT | 062c3400e51a3b25351a7dfe8f0446a1d4713fb8 | 2026-01-05T07:08:44.673033Z | false |
langchain-ai/retrieval-agent-template | https://github.com/langchain-ai/retrieval-agent-template/blob/062c3400e51a3b25351a7dfe8f0446a1d4713fb8/src/retrieval_graph/__init__.py | src/retrieval_graph/__init__.py | """Retrieval Graph Module
This module provides a conversational retrieval graph system that enables
intelligent document retrieval and question answering based on user inputs.
The main components of this system include:
1. A state management system for handling conversation context and document retrieval.
2. A query... | python | MIT | 062c3400e51a3b25351a7dfe8f0446a1d4713fb8 | 2026-01-05T07:08:44.673033Z | false |
langchain-ai/retrieval-agent-template | https://github.com/langchain-ai/retrieval-agent-template/blob/062c3400e51a3b25351a7dfe8f0446a1d4713fb8/tests/conftest.py | tests/conftest.py | import pytest
@pytest.fixture(scope="session")
def anyio_backend():
return "asyncio"
| python | MIT | 062c3400e51a3b25351a7dfe8f0446a1d4713fb8 | 2026-01-05T07:08:44.673033Z | false |
langchain-ai/retrieval-agent-template | https://github.com/langchain-ai/retrieval-agent-template/blob/062c3400e51a3b25351a7dfe8f0446a1d4713fb8/tests/unit_tests/test_configuration.py | tests/unit_tests/test_configuration.py | from retrieval_graph.configuration import Configuration
def test_configuration_from_none() -> None:
Configuration.from_runnable_config({"user_id": "foo"})
| python | MIT | 062c3400e51a3b25351a7dfe8f0446a1d4713fb8 | 2026-01-05T07:08:44.673033Z | false |
langchain-ai/retrieval-agent-template | https://github.com/langchain-ai/retrieval-agent-template/blob/062c3400e51a3b25351a7dfe8f0446a1d4713fb8/tests/unit_tests/__init__.py | tests/unit_tests/__init__.py | """Unit tests for your graph."""
| python | MIT | 062c3400e51a3b25351a7dfe8f0446a1d4713fb8 | 2026-01-05T07:08:44.673033Z | false |
langchain-ai/retrieval-agent-template | https://github.com/langchain-ai/retrieval-agent-template/blob/062c3400e51a3b25351a7dfe8f0446a1d4713fb8/tests/integration_tests/test_graph.py | tests/integration_tests/test_graph.py | import uuid
import pytest
from langchain_core.runnables import RunnableConfig
from langsmith import expect, unit
from retrieval_graph import graph, index_graph
pytestmark = pytest.mark.anyio
@unit
async def test_retrieval_graph() -> None:
simple_doc = "Cats have been observed performing synchronized swimming r... | python | MIT | 062c3400e51a3b25351a7dfe8f0446a1d4713fb8 | 2026-01-05T07:08:44.673033Z | false |
langchain-ai/retrieval-agent-template | https://github.com/langchain-ai/retrieval-agent-template/blob/062c3400e51a3b25351a7dfe8f0446a1d4713fb8/tests/integration_tests/__init__.py | tests/integration_tests/__init__.py | """Integration tests for your graph."""
| python | MIT | 062c3400e51a3b25351a7dfe8f0446a1d4713fb8 | 2026-01-05T07:08:44.673033Z | false |
titu1994/keras-coordconv | https://github.com/titu1994/keras-coordconv/blob/6dfb03919bcddce545672a0cc10107322ca04fa9/coord_theano.py | coord_theano.py | from keras.engine import Layer, InputSpec
from keras import backend as K
from keras.utils.generic_utils import get_custom_objects
class _CoordinateChannel(Layer):
""" Adds Coordinate Channels to the input tensor.
Due to Theano backend limitations, it is required to pass a static batch
size when defining ... | python | MIT | 6dfb03919bcddce545672a0cc10107322ca04fa9 | 2026-01-05T07:08:45.747682Z | false |
titu1994/keras-coordconv | https://github.com/titu1994/keras-coordconv/blob/6dfb03919bcddce545672a0cc10107322ca04fa9/coord.py | coord.py | from tensorflow.python.keras.layers import Layer, InputSpec
from tensorflow.keras import backend as K
import tensorflow as tf
from tensorflow.keras.utils import get_custom_objects
class _CoordinateChannel(Layer):
""" Adds Coordinate Channels to the input tensor.
# Arguments
rank: An integer, the rank... | python | MIT | 6dfb03919bcddce545672a0cc10107322ca04fa9 | 2026-01-05T07:08:45.747682Z | false |
titu1994/keras-coordconv | https://github.com/titu1994/keras-coordconv/blob/6dfb03919bcddce545672a0cc10107322ca04fa9/experiments/train_quadrant_classifier.py | experiments/train_quadrant_classifier.py | import os
import sys
import numpy as np
import matplotlib.pyplot as plt
from keras.layers import Input, Conv2D, Flatten, Softmax
from keras.models import Model
from keras.callbacks import ModelCheckpoint
from keras.optimizers import Adam
sys.path.append('..')
from coord import CoordinateChannel2D
if not os.path.exi... | python | MIT | 6dfb03919bcddce545672a0cc10107322ca04fa9 | 2026-01-05T07:08:45.747682Z | false |
titu1994/keras-coordconv | https://github.com/titu1994/keras-coordconv/blob/6dfb03919bcddce545672a0cc10107322ca04fa9/experiments/make_dataset.py | experiments/make_dataset.py | import os
import numpy as np
from sklearn.model_selection import train_test_split
# Can be either `quadrant` or `uniform`
type = 'quadrant'
assert type in ['uniform', 'quadrant']
if not os.path.exists('data-uniform/'):
os.makedirs('data-uniform/')
if not os.path.exists('data-quadrant/'):
os.makedirs('data-q... | python | MIT | 6dfb03919bcddce545672a0cc10107322ca04fa9 | 2026-01-05T07:08:45.747682Z | false |
titu1994/keras-coordconv | https://github.com/titu1994/keras-coordconv/blob/6dfb03919bcddce545672a0cc10107322ca04fa9/experiments/train_uniform_classifier.py | experiments/train_uniform_classifier.py | import os
import sys
import numpy as np
import matplotlib.pyplot as plt
from keras.layers import Input, Conv2D, Flatten, Softmax
from keras.models import Model
from keras.callbacks import ModelCheckpoint
from keras.optimizers import Adam
sys.path.append('..')
from coord import CoordinateChannel2D
if not os.path.exi... | python | MIT | 6dfb03919bcddce545672a0cc10107322ca04fa9 | 2026-01-05T07:08:45.747682Z | false |
titu1994/keras-coordconv | https://github.com/titu1994/keras-coordconv/blob/6dfb03919bcddce545672a0cc10107322ca04fa9/experiments/__init__.py | experiments/__init__.py | python | MIT | 6dfb03919bcddce545672a0cc10107322ca04fa9 | 2026-01-05T07:08:45.747682Z | false | |
titu1994/keras-coordconv | https://github.com/titu1994/keras-coordconv/blob/6dfb03919bcddce545672a0cc10107322ca04fa9/checks/shape_check_1d.py | checks/shape_check_1d.py | import numpy as np
ip_shape = (10, 5, 20)
batch, d, c = ip_shape
ip = np.ones(ip_shape, dtype='float32')
# 1D conv
xx_range = np.tile(np.expand_dims(np.arange(0, d), axis=0),
[batch, 1])
print('xx range', xx_range.shape)
xx_range = np.expand_dims(xx_range, axis=-1)
print('xx range expand dims', xx... | python | MIT | 6dfb03919bcddce545672a0cc10107322ca04fa9 | 2026-01-05T07:08:45.747682Z | false |
titu1994/keras-coordconv | https://github.com/titu1994/keras-coordconv/blob/6dfb03919bcddce545672a0cc10107322ca04fa9/checks/shape_check_2d.py | checks/shape_check_2d.py | import numpy as np
ip_shape = (10, 6, 5, 20)
batch, w, h, c = ip_shape
ip = np.ones(ip_shape, dtype='float32')
# 2D conv
xx_ones = np.ones([batch, h], dtype='int32')
xx_ones = np.expand_dims(xx_ones, axis=-1)
print('xx expand dims', xx_ones.shape)
xx_range = np.tile(np.expand_dims(np.arange(0, w), axis=0),
... | python | MIT | 6dfb03919bcddce545672a0cc10107322ca04fa9 | 2026-01-05T07:08:45.747682Z | false |
titu1994/keras-coordconv | https://github.com/titu1994/keras-coordconv/blob/6dfb03919bcddce545672a0cc10107322ca04fa9/checks/shape_check_3d.py | checks/shape_check_3d.py | import numpy as np
ip_shape = (10, 8, 5, 4, 20)
batch, d, w, h, c = ip_shape
ip = np.ones(ip_shape, dtype='float32')
# 3D conv
xx_ones = np.ones([batch, h], dtype='int32')
xx_ones = np.expand_dims(xx_ones, axis=-1)
print('xx expand dims', xx_ones.shape)
xx_range = np.tile(np.expand_dims(np.arange(0, w), axis=0),
... | python | MIT | 6dfb03919bcddce545672a0cc10107322ca04fa9 | 2026-01-05T07:08:45.747682Z | false |
ZenithVal/OSCLeash | https://github.com/ZenithVal/OSCLeash/blob/0be678a33b43e8fc33dc529265704fcc3e5e0cdd/OSCLeash.py | OSCLeash.py | from threading import Thread
import json
import sys
import os
import time
from Controllers.DataController import DefaultConfig, ConfigSettings, Leash
from Controllers.PackageController import Package
from Controllers.ThreadController import Program
# Make sure to change this to the correct version number on releases.... | python | MIT | 0be678a33b43e8fc33dc529265704fcc3e5e0cdd | 2026-01-05T07:08:44.736736Z | false |
ZenithVal/OSCLeash | https://github.com/ZenithVal/OSCLeash/blob/0be678a33b43e8fc33dc529265704fcc3e5e0cdd/Controllers/ThreadController.py | Controllers/ThreadController.py | from pythonosc.udp_client import SimpleUDPClient
from threading import Lock, Thread
import time
import os
import ctypes #Required for colored error messages.
from Controllers.DataController import ConfigSettings, Leash
class Program:
# Class variable to determine if the program is running on a thread (Prevents m... | python | MIT | 0be678a33b43e8fc33dc529265704fcc3e5e0cdd | 2026-01-05T07:08:44.736736Z | false |
ZenithVal/OSCLeash | https://github.com/ZenithVal/OSCLeash/blob/0be678a33b43e8fc33dc529265704fcc3e5e0cdd/Controllers/DataController.py | Controllers/DataController.py | import time
import os
import ctypes #Required for colored error messages.
DefaultConfig = {
"IP": "127.0.0.1",
"ListeningPort": 9001,
"SendingPort": 9000,
"RunDeadzone": 0.70,
"WalkDeadzone": 0.15,
"StrengthMultiplier": 1.2,
"UpDownCompensation": 1.0,
"Up... | python | MIT | 0be678a33b43e8fc33dc529265704fcc3e5e0cdd | 2026-01-05T07:08:44.736736Z | false |
ZenithVal/OSCLeash | https://github.com/ZenithVal/OSCLeash/blob/0be678a33b43e8fc33dc529265704fcc3e5e0cdd/Controllers/PackageController.py | Controllers/PackageController.py | import time
import ctypes #Required for colored error messages.
from pythonosc.dispatcher import Dispatcher
from pythonosc import osc_server
from threading import Lock, Thread
from Controllers.DataController import Leash
from Controllers.ThreadController import Program
from tinyoscquery.queryservice import OSCQuerySe... | python | MIT | 0be678a33b43e8fc33dc529265704fcc3e5e0cdd | 2026-01-05T07:08:44.736736Z | false |
ZenithVal/OSCLeash | https://github.com/ZenithVal/OSCLeash/blob/0be678a33b43e8fc33dc529265704fcc3e5e0cdd/Testing/OSC_SimpleTestSender.py | Testing/OSC_SimpleTestSender.py | """
Small example OSC client
"""
import random
import time
from pythonosc import udp_client
LeashNameString = "Leash_North"
PORT = 9001
IP = "127.0.0.1"
def sendData():
Directional = random.random()
LeashZPos = 0.0
LeashZNeg = 0.0
LeashXPos = 0.0
LeashXNeg = 0.0
if Directional >= .75: # North
... | python | MIT | 0be678a33b43e8fc33dc529265704fcc3e5e0cdd | 2026-01-05T07:08:44.736736Z | false |
ZenithVal/OSCLeash | https://github.com/ZenithVal/OSCLeash/blob/0be678a33b43e8fc33dc529265704fcc3e5e0cdd/Scripts/BuildInstaller.py | Scripts/BuildInstaller.py | #Installer using cx_freeze stable(6.15.x), and python 3.11 (3.12 should be supported in cx_freeze 6.16.x)
from cx_Freeze import setup, Executable
#Update version numbers on new releases.
# Dependencies are automatically detected.
build_options = {'packages': [], 'excludes': []}
base = 'console'
# Create EXE and 2 sh... | python | MIT | 0be678a33b43e8fc33dc529265704fcc3e5e0cdd | 2026-01-05T07:08:44.736736Z | false |
provectus/swiss-army-kube | https://github.com/provectus/swiss-army-kube/blob/ae10efa45a12f0b1040bc8637e5f632734f3cfaa/.scripts/validate_variables.py | .scripts/validate_variables.py | #! /usr/bin/env python3
import hcl2
import glob
import sys
def get_variables():
variables = {}
for file in glob.glob("**/variables.tf", recursive=True):
with open(file, "r") as f:
data = hcl2.load(f)
for var in data['variable']:
name = list(var.keys())[0]
... | python | Apache-2.0 | ae10efa45a12f0b1040bc8637e5f632734f3cfaa | 2026-01-05T07:08:46.819166Z | false |
noobpk/auto-change-tor-ip | https://github.com/noobpk/auto-change-tor-ip/blob/1ff2f46c5c20437623437bfd707fa6c228bd8d6d/log.py | log.py | import logging
from colorlog import ColoredFormatter
def setup_logging():
logger = logging.getLogger()
logger.setLevel(logging.INFO)
color_formatter = ColoredFormatter(
"%(log_color)s[%(asctime)s] [%(levelname)-4s]%(reset)s - %(message)s",
datefmt='%d-%m-%y %H:%M:%S',
r... | python | MIT | 1ff2f46c5c20437623437bfd707fa6c228bd8d6d | 2026-01-05T07:08:47.916098Z | false |
noobpk/auto-change-tor-ip | https://github.com/noobpk/auto-change-tor-ip/blob/1ff2f46c5c20437623437bfd707fa6c228bd8d6d/autorip.py | autorip.py | #!/usr/local/bin/python3
import time
import os
import sys
import ssl
from python_socks.sync import Proxy
import random
from log import *
import subprocess
import gevent.monkey
gevent.monkey.patch_all()
print(r'''\033[1;31m \n
_ _
| | (_)
__ _ _ _| |_ _... | python | MIT | 1ff2f46c5c20437623437bfd707fa6c228bd8d6d | 2026-01-05T07:08:47.916098Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/setup.py | setup.py | """ Setup
"""
from setuptools import setup, find_packages
from codecs import open
from os import path
here = path.abspath(path.dirname(__file__))
def _read_reqs(relpath):
fullpath = path.join(path.dirname(__file__), relpath)
with open(fullpath) as f:
return [s.strip() for s in f.readlines() if (s.stri... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/demo.py | demo.py | import torch
from PIL import Image
from src.open_clip.factory import create_model
from torchvision.transforms import Compose, ToTensor, Normalize, CenterCrop, Resize
if __name__ == "__main__":
with torch.no_grad():
img_path = "path_to_your_img"
device = "cuda:0"
output_dir = "vis"
m... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/tools/generate_text_embeddings_siglip.py | tools/generate_text_embeddings_siglip.py | # Modified from [ViLD](https://github.com/tensorflow/tpu/tree/master/models/official/detection/projects/vild)
import numpy as np
import torch
import torch.nn.functional as F
from tqdm import tqdm
import open_clip
def article(name):
return 'an' if name[0] in 'aeiou' else 'a'
def processed_name(name, rm_dot=False):
... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/tools/vis_k_means.py | tools/vis_k_means.py | from PIL import Image
from featup.util import UnNormalize
import matplotlib.pyplot as plt
from open_clip.transform import det_image_transform
import numpy as np
import torch
import os
from tqdm import tqdm
model_name="EVA02-CLIP-B-16"
# model_name="EVA02-CLIP-L-14-336"
ckpt="logs/exp34/checkpoints/epoch_6.pt"
mean=[0... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/tools/k_means.py | tools/k_means.py | import logging
import cv2
from sklearn.cluster import KMeans
import torch
import torch.nn.functional as F
import numpy as np
from tqdm import tqdm
from open_clip.model import get_cast_dtype
from training.distributed import is_master
from training.precision import get_autocast
from training.zero_shot import multi_gpu_sy... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/tools/generate_text_embeddings.py | tools/generate_text_embeddings.py | # Modified from [ViLD](https://github.com/tensorflow/tpu/tree/master/models/official/detection/projects/vild)
import numpy as np
import torch
import torch.nn.functional as F
from tqdm import tqdm
import open_clip
def article(name):
return 'an' if name[0] in 'aeiou' else 'a'
def processed_name(name, rm_dot=False):
... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/tools/precompute_knns.py | tools/precompute_knns.py | import torch
import torch.nn.functional as F
import numpy as np
from tqdm import tqdm
from training.distributed import is_master
from training.precision import get_autocast
import os
import json
@torch.no_grad()
def run_knns(model, data, args):
"""
基于 vfm 的相似度, 计算每个训练集样本的 KNN 样本, 并建立 image_id -> KNN 映射
"""
... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/tools/vis_featmap_corr.py | tools/vis_featmap_corr.py | import math
import sys
import os
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
import torch
import torchvision.transforms as T
from PIL import Image
from featup.util import UnNormalize,remove_axes
from featup.plotting import plot_feats, plot_lang_heatmaps
from open_clip.factory import ... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/tools/segmentation.py | tools/segmentation.py | import logging
import math
import torch
import torch.nn.functional as F
import numpy as np
from tqdm import tqdm
from open_clip import create_model
from open_clip.model import get_cast_dtype
from training.distributed import is_master
from training.precision import get_autocast
from training.zero_shot import multi_gpu_s... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/modified_resnet.py | src/open_clip/modified_resnet.py | from collections import OrderedDict
import torch
from torch import nn
from torch.nn import functional as F
from open_clip.utils import freeze_batch_norm_2d
from torchvision.ops import roi_align
class FrozenBatchNorm2d(nn.Module):
_version = 3
def __init__(self, num_features, eps=1e-5):
super().__ini... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/pretrained.py | src/open_clip/pretrained.py | import hashlib
import os
import urllib
import warnings
from functools import partial
from typing import Dict, Union
from tqdm import tqdm
from .version import __version__
try:
from huggingface_hub import hf_hub_download
hf_hub_download = partial(hf_hub_download, library_name="open_clip", library_version=__ve... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/timm_model.py | src/open_clip/timm_model.py | """ timm model adapter
Wraps timm (https://github.com/rwightman/pytorch-image-models) models for use as a vision tower in CLIP model.
"""
import logging
from collections import OrderedDict
import torch
import torch.nn as nn
from torchvision.ops import roi_align
import torch.nn.functional as F
try:
import timm
... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/transform.py | src/open_clip/transform.py | import warnings
from dataclasses import dataclass, asdict
from typing import Any, Dict, Optional, Sequence, Tuple, Union
import torch
import torch.nn as nn
import torchvision.transforms.functional as F
from torchvision.transforms.v2 import ScaleJitter
from torchvision.transforms import Normalize, Compose, RandomResize... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/constants.py | src/open_clip/constants.py | OPENAI_DATASET_MEAN = (0.48145466, 0.4578275, 0.40821073)
OPENAI_DATASET_STD = (0.26862954, 0.26130258, 0.27577711)
| python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/hf_configs.py | src/open_clip/hf_configs.py | # HF architecture dict:
arch_dict = {
# https://huggingface.co/docs/transformers/model_doc/roberta#roberta
"roberta": {
"config_names": {
"context_length": "max_position_embeddings",
"vocab_size": "vocab_size",
"width": "hidden_size",
"heads": "num_attenti... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/hf_model.py | src/open_clip/hf_model.py | """ huggingface model adapter
Wraps HuggingFace transformers (https://github.com/huggingface/transformers) models for use as a text tower in CLIP model.
"""
import re
import torch
import torch.nn as nn
from torch import TensorType
try:
import transformers
from transformers import AutoModel, AutoTokenizer, A... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/model.py | src/open_clip/model.py | """ CLIP Model
Adapted from https://github.com/openai/CLIP. Originally MIT License, Copyright (c) 2021 OpenAI.
"""
from dataclasses import dataclass
import logging
import math
from typing import Optional, Tuple, Union
import numpy as np
import torch
import torch.nn.functional as F
from torch import nn
from torch.util... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/version.py | src/open_clip/version.py | __version__ = '2.16.0'
| python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/utils.py | src/open_clip/utils.py | from itertools import repeat
import collections.abc
from torch import nn as nn
from torchvision.ops.misc import FrozenBatchNorm2d
def freeze_batch_norm_2d(module, module_match={}, name=''):
"""
Converts all `BatchNorm2d` and `SyncBatchNorm` layers of provided module into `FrozenBatchNorm2d`. If `module` is
... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/factory.py | src/open_clip/factory.py | import json
import logging
import os
import pathlib
import re
from copy import deepcopy
from pathlib import Path
from typing import Any, Dict, Optional, Tuple, Union
import torchvision.transforms as T
import torch
from .constants import OPENAI_DATASET_MEAN, OPENAI_DATASET_STD
from .model import CLIP, CustomTextCLIP, co... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/loss.py | src/open_clip/loss.py | import torch
import torch.nn as nn
from torch.nn import functional as F
try:
import torch.distributed.nn
from torch import distributed as dist
has_distributed = True
except ImportError:
has_distributed = False
try:
import horovod.torch as hvd
except ImportError:
hvd = None
def gather_featur... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/customs.py | src/open_clip/customs.py | from torch import Tensor
from torch.nn import MultiheadAttention
from torch.nn import functional as F
from typing import Optional, Tuple
class MultiheadSelfAttention(MultiheadAttention):
def forward(self, query: Tensor, key: Tensor, value: Tensor, key_padding_mask: Optional[Tensor] = None,
need_we... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/__init__.py | src/open_clip/__init__.py | from .coca_model import CoCa
from .constants import OPENAI_DATASET_MEAN, OPENAI_DATASET_STD
from .factory import create_model, create_model_and_transforms, create_model_from_pretrained, get_tokenizer
from .factory import list_models, add_model_config, get_model_config, load_checkpoint
from .loss import ClipLoss, Distil... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/push_to_hf_hub.py | src/open_clip/push_to_hf_hub.py | import argparse
import json
from pathlib import Path
from tempfile import TemporaryDirectory
from typing import Optional, Tuple
import torch
try:
from huggingface_hub import (
create_repo,
get_hf_file_metadata,
hf_hub_download,
hf_hub_url,
repo_type_and_id_from_hf_id,
... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/tokenizer.py | src/open_clip/tokenizer.py | """ CLIP tokenizer
Copied from https://github.com/openai/CLIP. Originally MIT License, Copyright (c) 2021 OpenAI.
"""
import gzip
import html
import os
from functools import lru_cache
from typing import Union, List
import ftfy
import regex as re
import torch
# https://stackoverflow.com/q/62691279
import os
os.enviro... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/generation_utils.py | src/open_clip/generation_utils.py | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false | |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/transformer.py | src/open_clip/transformer.py | import logging
from collections import OrderedDict
import math
from typing import Callable, Optional, Sequence, Tuple
import torch
from torch import nn
from torch.nn import functional as F
from torch.utils.checkpoint import checkpoint
from torchvision.ops import roi_align
from .utils import to_2tuple
class LayerNormF... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | true |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/coca_model.py | src/open_clip/coca_model.py | from typing import Optional
import torch
from torch import nn
from torch.nn import functional as F
import numpy as np
from dataclasses import dataclass
from .transformer import (
LayerNormFp32,
LayerNorm,
QuickGELU,
MultimodalTransformer,
)
from .model import CLIPTextCfg, CLIPVisionCfg, _build_vision_... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/openai.py | src/open_clip/openai.py | """ OpenAI pretrained model functions
Adapted from https://github.com/openai/CLIP. Originally MIT License, Copyright (c) 2021 OpenAI.
"""
import os
import warnings
from typing import List, Optional, Union
import torch
from .model import build_model_from_openai_state_dict, convert_weights_to_lp, get_cast_dtype
from ... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/siglip/declip_siglip.py | src/open_clip/siglip/declip_siglip.py | from transformers import SiglipModel,SiglipVisionModel
from transformers.models.siglip.modeling_siglip import (SiglipVisionTransformer,SiglipMultiheadAttentionPoolingHead,SiglipVisionEmbeddings)
from typing import Optional, Tuple, Union
from transformers.models.siglip.configuration_siglip import SiglipConfig, SiglipVis... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/siglip/__init__.py | src/open_clip/siglip/__init__.py | from .declip_siglip import * | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/eva_clip/modified_resnet.py | src/open_clip/eva_clip/modified_resnet.py | from collections import OrderedDict
import torch
from torch import nn
from torch.nn import functional as F
from open_clip.eva_clip.utils import freeze_batch_norm_2d
class Bottleneck(nn.Module):
expansion = 4
def __init__(self, inplanes, planes, stride=1):
super().__init__()
# all conv laye... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/eva_clip/pretrained.py | src/open_clip/eva_clip/pretrained.py | import hashlib
import os
import urllib
import warnings
from functools import partial
from typing import Dict, Union
from tqdm import tqdm
try:
from huggingface_hub import hf_hub_download
_has_hf_hub = True
except ImportError:
hf_hub_download = None
_has_hf_hub = False
def _pcfg(url='', hf_hub='', fi... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/eva_clip/timm_model.py | src/open_clip/eva_clip/timm_model.py | """ timm model adapter
Wraps timm (https://github.com/rwightman/pytorch-image-models) models for use as a vision tower in CLIP model.
"""
import logging
from collections import OrderedDict
import torch
import torch.nn as nn
try:
import timm
from timm.models.layers import Mlp, to_2tuple
try:
# old... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/eva_clip/transform.py | src/open_clip/eva_clip/transform.py | from typing import Optional, Sequence, Tuple
import torch
import torch.nn as nn
import torchvision.transforms.functional as F
from torchvision.transforms import Normalize, Compose, RandomResizedCrop, InterpolationMode, ToTensor, Resize, \
CenterCrop
from .constants import OPENAI_DATASET_MEAN, OPENAI_DATASET_STD
... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/eva_clip/constants.py | src/open_clip/eva_clip/constants.py | OPENAI_DATASET_MEAN = (0.48145466, 0.4578275, 0.40821073)
OPENAI_DATASET_STD = (0.26862954, 0.26130258, 0.27577711)
| python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/eva_clip/hf_configs.py | src/open_clip/eva_clip/hf_configs.py | # HF architecture dict:
arch_dict = {
# https://huggingface.co/docs/transformers/model_doc/roberta#roberta
"roberta": {
"config_names": {
"context_length": "max_position_embeddings",
"vocab_size": "vocab_size",
"width": "hidden_size",
"heads": "num_attention_heads",
... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/eva_clip/hf_model.py | src/open_clip/eva_clip/hf_model.py | """ huggingface model adapter
Wraps HuggingFace transformers (https://github.com/huggingface/transformers) models for use as a text tower in CLIP model.
"""
import re
import torch
import torch.nn as nn
from torch.nn import functional as F
from torch import TensorType
try:
import transformers
from transformer... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/eva_clip/model.py | src/open_clip/eva_clip/model.py | """ CLIP Model
Adapted from https://github.com/openai/CLIP. Originally MIT License, Copyright (c) 2021 OpenAI.
"""
import os
from dataclasses import dataclass
from typing import Optional, Tuple, Union
from functools import partial
import numpy as np
import torch
import torch.nn.functional as F
from torch import nn
t... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/eva_clip/eva_vit_model.py | src/open_clip/eva_clip/eva_vit_model.py | # --------------------------------------------------------
# Adapted from https://github.com/microsoft/unilm/tree/master/beit
# --------------------------------------------------------
import math
import os
from functools import partial
import torch
import torch.nn as nn
import torch.nn.functional as F
try:
from t... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | true |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/eva_clip/utils.py | src/open_clip/eva_clip/utils.py | from itertools import repeat
import collections.abc
import logging
import math
import numpy as np
import torch
from torch import nn as nn
from torchvision.ops.misc import FrozenBatchNorm2d
import torch.nn.functional as F
# open CLIP
def resize_clip_pos_embed(state_dict, model, interpolation: str = 'bicubic', seq_dim=... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/eva_clip/factory.py | src/open_clip/eva_clip/factory.py | import json
import logging
import os
import pathlib
import re
from copy import deepcopy
from pathlib import Path
from typing import Optional, Tuple, Union, Dict, Any
import torch
from .constants import OPENAI_DATASET_MEAN, OPENAI_DATASET_STD
from .model import CLIP, CustomCLIP, convert_weights_to_lp, convert_to_custom... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/eva_clip/loss.py | src/open_clip/eva_clip/loss.py | import math
import torch
import torch.nn as nn
from torch.nn import functional as F
try:
import torch.distributed.nn
from torch import distributed as dist
has_distributed = True
except ImportError:
has_distributed = False
try:
import horovod.torch as hvd
except ImportError:
hvd = None
from ti... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/eva_clip/__init__.py | src/open_clip/eva_clip/__init__.py | from .constants import OPENAI_DATASET_MEAN, OPENAI_DATASET_STD
from .factory import create_model, create_model_and_transforms, create_model_from_pretrained, get_tokenizer
from .factory import list_models, add_model_config, get_model_config, load_checkpoint
from .loss import ClipLoss
from .model import CLIP, CustomCLIP,... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/eva_clip/rope.py | src/open_clip/eva_clip/rope.py | from math import pi
import torch
from torch import nn
from einops import rearrange, repeat
import logging
import torch.nn.functional as F
def broadcat(tensors, dim = -1):
num_tensors = len(tensors)
shape_lens = set(list(map(lambda t: len(t.shape), tensors)))
assert len(shape_lens) == 1, 'tensors must all ... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/eva_clip/tokenizer.py | src/open_clip/eva_clip/tokenizer.py | """ CLIP tokenizer
Copied from https://github.com/openai/CLIP. Originally MIT License, Copyright (c) 2021 OpenAI.
"""
import gzip
import html
import os
from functools import lru_cache
from typing import Union, List
import ftfy
import regex as re
import torch
# https://stackoverflow.com/q/62691279
import os
os.enviro... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/eva_clip/transformer.py | src/open_clip/eva_clip/transformer.py | import os
import logging
from collections import OrderedDict
import math
from typing import Callable, Optional, Sequence
import numpy as np
import torch
from torch import nn
from torch.nn import functional as F
try:
from timm.models.layers import trunc_normal_
except:
from timm.layers import trunc_normal_
... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/open_clip/eva_clip/openai.py | src/open_clip/eva_clip/openai.py | """ OpenAI pretrained model functions
Adapted from https://github.com/openai/CLIP. Originally MIT License, Copyright (c) 2021 OpenAI.
"""
import os
import warnings
from typing import List, Optional, Union
import torch
from .model import build_model_from_openai_state_dict, convert_weights_to_lp, get_cast_dtype
from ... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/segment_anything/build_sam.py | src/segment_anything/build_sam.py | # 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.
import torch
from functools import partial
from .modeling import ImageEncoderViT, MaskDecoder, PromptEncoder, Sam, TwoWa... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/segment_anything/predictor.py | src/segment_anything/predictor.py | # 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.
import numpy as np
import torch
from segment_anything.modeling import Sam
from typing import Optional, Tuple
from .util... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/segment_anything/__init__.py | src/segment_anything/__init__.py | # 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 .build_sam import (
build_sam,
build_sam_vit_h,
build_sam_vit_l,
build_sam_vit_b,
sam_model_regis... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/segment_anything/automatic_mask_generator.py | src/segment_anything/automatic_mask_generator.py | # 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.
import numpy as np
import torch
from torchvision.ops.boxes import batched_nms, box_area # type: ignore
from typing impor... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/segment_anything/utils/amg.py | src/segment_anything/utils/amg.py | # 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.
import numpy as np
import torch
import math
from copy import deepcopy
from itertools import product
from typing import An... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/segment_anything/utils/__init__.py | src/segment_anything/utils/__init__.py | # 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.
| python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/segment_anything/utils/transforms.py | src/segment_anything/utils/transforms.py | # 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.
import numpy as np
import torch
from torch.nn import functional as F
from torchvision.transforms.functional import resize,... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/segment_anything/utils/onnx.py | src/segment_anything/utils/onnx.py | # 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.
import torch
import torch.nn as nn
from torch.nn import functional as F
from typing import Tuple
from ..modeling import ... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/segment_anything/modeling/image_encoder.py | src/segment_anything/modeling/image_encoder.py | # 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.
import torch
import torch.nn as nn
import torch.nn.functional as F
from typing import Optional, Tuple, Type
from .common... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/segment_anything/modeling/prompt_encoder.py | src/segment_anything/modeling/prompt_encoder.py | # 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.
import numpy as np
import torch
from torch import nn
from typing import Any, Optional, Tuple, Type
from .common import L... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/segment_anything/modeling/common.py | src/segment_anything/modeling/common.py | # 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.
import torch
import torch.nn as nn
from typing import Type
class MLPBlock(nn.Module):
def __init__(
self,
... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/segment_anything/modeling/sam.py | src/segment_anything/modeling/sam.py | # 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.
import torch
from torch import nn
from torch.nn import functional as F
from typing import Any, Dict, List, Tuple
from .i... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/segment_anything/modeling/__init__.py | src/segment_anything/modeling/__init__.py | # 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 .sam import Sam
from .image_encoder import ImageEncoderViT
from .mask_decoder import MaskDecoder
from .prompt_encoder... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/segment_anything/modeling/transformer.py | src/segment_anything/modeling/transformer.py | # 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.
import torch
from torch import Tensor, nn
import math
from typing import Tuple, Type
from .common import MLPBlock
clas... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/segment_anything/modeling/mask_decoder.py | src/segment_anything/modeling/mask_decoder.py | # 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.
import torch
from torch import nn
from torch.nn import functional as F
from typing import List, Tuple, Type
from .common... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
xiaomoguhz/DeCLIP | https://github.com/xiaomoguhz/DeCLIP/blob/ed89f59c4d5939de0048e3622e6927274a63bcf7/src/training/params.py | src/training/params.py | import argparse
import ast
def get_default_params(model_name):
# Params from paper (https://arxiv.org/pdf/2103.00020.pdf)
model_name = model_name.lower()
if "vit" in model_name:
return {"lr": 5.0e-4, "beta1": 0.9, "beta2": 0.98, "eps": 1.0e-6}
else:
return {"lr": 5.0e-4, "beta1": 0.9, ... | python | Apache-2.0 | ed89f59c4d5939de0048e3622e6927274a63bcf7 | 2026-01-05T07:08:37.834068Z | false |
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