repo stringclasses 454
values | file_path stringlengths 5 201 | extension stringclasses 1
value | content stringlengths 8 509k | num_lines int64 3 16.9k | size_bytes int64 8 511k |
|---|---|---|---|---|---|
insightface | python-package/insightface/thirdparty/face3d/morphable_model/load.py | .py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import scipy.io as sio
### --------------------------------- load BFM data
def load_BFM(model_path):
''' load BFM 3DMM model
Args:
model_path: path to BFM model.
Return... | 111 | 3,765 |
insightface | python-package/insightface/thirdparty/face3d/morphable_model/fit.py | .py | '''
Estimating parameters about vertices: shape para, exp para, pose para(s, R, t)
'''
import numpy as np
from .. import mesh
''' TODO: a clear document.
Given: image_points, 3D Model, Camera Matrix(s, R, t2d)
Estimate: shape parameters, expression parameters
Inference:
projected_vertices = s*P*R(mu + shape + ... | 273 | 8,101 |
insightface | python-package/insightface/thirdparty/face3d/mesh_numpy/transform.py | .py | '''
Functions about transforming mesh(changing the position: modify vertices).
1. forward: transform(transform, camera, project).
2. backward: estimate transform matrix from correspondences.
Preparation knowledge:
transform&camera model:
https://cs184.eecs.berkeley.edu/lecture/transforms-2
Part I: camera geometry and ... | 385 | 12,319 |
insightface | python-package/insightface/thirdparty/face3d/mesh_numpy/render.py | .py | '''
functions about rendering mesh(from 3d obj to 2d image).
only use rasterization render here.
Note that:
1. Generally, render func includes camera, light, raterize. Here no camera and light(I write these in other files)
2. Generally, the input vertices are normalized to [-1,1] and cetered on [0, 0]. (in world space)... | 287 | 10,426 |
insightface | python-package/insightface/thirdparty/face3d/mesh_numpy/io.py | .py | ''' io: read&write mesh
1. read obj as array(TODO)
2. write arrays to obj
Preparation knowledge:
representations of 3d face: mesh, point cloud...
storage format: obj, ply, bin, asc, mat...
'''
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as... | 170 | 5,842 |
insightface | python-package/insightface/thirdparty/face3d/mesh_numpy/vis.py | .py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import matplotlib.pyplot as plt
from skimage import measure
from mpl_toolkits.mplot3d import Axes3D
def plot_mesh(vertices, triangles, subplot = [1,1,1], title = 'mesh', el = 90, az = -90, l... | 25 | 791 |
insightface | python-package/insightface/thirdparty/face3d/mesh_numpy/light.py | .py | '''
Functions about lighting mesh(changing colors/texture of mesh).
1. add light to colors/texture (shade each vertex)
2. fit light according to colors/texture & image.
Preparation knowledge:
lighting: https://cs184.eecs.berkeley.edu/lecture/pipeline
spherical harmonics in human face: '3D Face Reconstruction from a Si... | 216 | 7,502 |
insightface | python-package/insightface/thirdparty/face3d/mesh/transform.py | .py | '''
Functions about transforming mesh(changing the position: modify vertices).
1. forward: transform(transform, camera, project).
2. backward: estimate transform matrix from correspondences.
Author: Yao Feng
Mail: yaofeng1995@gmail.com
'''
from __future__ import absolute_import
from __future__ import division
from _... | 383 | 12,207 |
insightface | python-package/insightface/thirdparty/face3d/mesh/render.py | .py | '''
functions about rendering mesh(from 3d obj to 2d image).
only use rasterization render here.
Note that:
1. Generally, render func includes camera, light, raterize. Here no camera and light(I write these in other files)
2. Generally, the input vertices are normalized to [-1,1] and cetered on [0, 0]. (in world space)... | 136 | 4,597 |
insightface | python-package/insightface/thirdparty/face3d/mesh/io.py | .py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import os
from skimage import io
from time import time
from .cython import mesh_core_cython
## TODO
## TODO: c++ version
def read_obj(obj_name):
''' read mesh
'''
return 0
# -----------... | 142 | 4,938 |
insightface | python-package/insightface/thirdparty/face3d/mesh/light.py | .py | '''
Functions about lighting mesh(changing colors/texture of mesh).
1. add light to colors/texture (shade each vertex)
2. fit light according to colors/texture & image.
'''
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from .cython impo... | 214 | 7,492 |
insightface | python-package/insightface/thirdparty/face3d/mesh/cython/setup.py | .py | '''
python setup.py build_ext -i
to compile
'''
# setup.py
from distutils.core import setup, Extension
from Cython.Build import cythonize
from Cython.Distutils import build_ext
import numpy
setup(
name = 'mesh_core_cython',
cmdclass={'build_ext': build_ext},
ext_modules=[Extension("mesh_core_cython",
... | 21 | 472 |
insightface | python-package/insightface/commands/rec_add_mask_param.py | .py |
import numbers
import os
from argparse import ArgumentParser, Namespace
import numpy as np
from . import BaseInsightFaceCLICommand
def rec_add_mask_param_command_factory(args: Namespace):
return RecAddMaskParamCommand(
args.input, args.output
)
class RecAddMaskParamCommand(BaseInsightFaceCLIComm... | 108 | 3,878 |
insightface | python-package/insightface/commands/insightface_cli.py | .py | #!/usr/bin/env python
from argparse import ArgumentParser
from .model_download import ModelDownloadCommand
from .rec_add_mask_param import RecAddMaskParamCommand
def main():
parser = ArgumentParser("InsightFace CLI tool", usage="insightface-cli <command> [<args>]")
commands_parser = parser.add_subparsers(hel... | 30 | 724 |
insightface | python-package/insightface/commands/__init__.py | .py | from abc import ABC, abstractmethod
from argparse import ArgumentParser
class BaseInsightFaceCLICommand(ABC):
@staticmethod
@abstractmethod
def register_subcommand(parser: ArgumentParser):
raise NotImplementedError()
@abstractmethod
def run(self):
raise NotImplementedError()
| 14 | 315 |
insightface | python-package/insightface/commands/model_download.py | .py | from argparse import ArgumentParser
from . import BaseInsightFaceCLICommand
import os
import os.path as osp
import zipfile
import glob
from ..utils import download
def model_download_command_factory(args):
return ModelDownloadCommand(args.model, args.root, args.force)
class ModelDownloadCommand(BaseInsightFace... | 37 | 1,236 |
insightface | python-package/insightface/app/mask_renderer.py | .py | import os, sys, datetime
import numpy as np
import os.path as osp
import albumentations as A
from albumentations.core.transforms_interface import ImageOnlyTransform
from .face_analysis import FaceAnalysis
from ..utils import get_model_dir
from ..thirdparty import face3d
from ..data import get_image as ins_get_image
fro... | 233 | 9,846 |
insightface | python-package/insightface/app/__init__.py | .py | from .face_analysis import *
try:
import os
os.environ.setdefault("NO_ALBUMENTATIONS_UPDATE", "1")
from .mask_renderer import *
except ImportError:
# The mask renderer depends on optional compiled face3d extensions. Keep the
# main InsightFace API importable in source-tree and GUI-safe environments... | 11 | 331 |
insightface | python-package/insightface/app/face_analysis.py | .py | # -*- coding: utf-8 -*-
# @Organization : insightface.ai
# @Author : Jia Guo
# @Time : 2021-05-04
# @Function :
from __future__ import division
import glob
import os.path as osp
import numpy as np
import onnxruntime
from numpy.linalg import norm
from ..model_zoo import model_zoo
from ..utils... | 128 | 4,876 |
insightface | python-package/insightface/app/common.py | .py | import numpy as np
from numpy.linalg import norm as l2norm
class Face(dict):
def __init__(self, d=None, **kwargs):
if d is None:
d = {}
if kwargs:
d.update(**kwargs)
for k, v in d.items():
setattr(self, k, v)
# Class attributes
#for k in ... | 49 | 1,436 |
insightface | python-package/packaging/desktop/pyinstaller_entry.py | .py | from insightface.gui.__main__ import main
if __name__ == "__main__":
raise SystemExit(main())
| 6 | 100 |
insightface | python-package/tests/gui/test_gui_smoke.py | .py | import pytest
import os
from pathlib import Path
import numpy as np
def test_main_window_smoke(tmp_path):
os.environ.setdefault("QT_QPA_PLATFORM", "offscreen")
PySide6 = pytest.importorskip("PySide6")
from PySide6.QtCore import QEvent, QUrl, Qt
from PySide6.QtWidgets import QAbstractItemView, QApplica... | 280 | 15,026 |
insightface | python-package/tests/gui/test_providers.py | .py | from insightface.gui.core import face_engine
def test_cuda_choice_falls_back_when_provider_is_unavailable(monkeypatch):
monkeypatch.setattr(face_engine, "available_execution_providers", lambda: ["CPUExecutionProvider"])
assert face_engine.is_cuda_provider_available() is False
assert face_engine.providers... | 22 | 878 |
insightface | python-package/tests/gui/test_links.py | .py | import pytest
def test_insightface_links_add_gui_referrer():
pytest.importorskip("PySide6")
from insightface.gui.core.links import add_gui_referrer
url = add_gui_referrer("https://www.insightface.ai/contact", content="license_enterprise_support")
assert url.startswith("https://www.insightface.ai/co... | 25 | 788 |
insightface | python-package/tests/gui/test_storage.py | .py | import numpy as np
from insightface.gui.core.storage import Storage
from insightface.gui.core.utils import encode_webp_thumbnail
def test_storage_people_samples_and_search(tmp_path):
db = tmp_path / "test.db"
storage = Storage(db)
person_id = storage.add_person("Alice")
emb = np.array([1.0, 0.0, 0.0]... | 92 | 3,159 |
insightface | python-package/tests/gui/test_theme.py | .py | from insightface.gui.core.theme import (
THEME_OPTIONS,
application_stylesheet,
effective_theme,
normalize_theme,
theme_description,
theme_label,
)
def test_theme_options_include_multiple_product_themes():
values = [option.value for option in THEME_OPTIONS]
assert values[0] == "system... | 59 | 2,073 |
insightface | python-package/tests/gui/test_quality.py | .py | import numpy as np
from insightface.gui.core.quality import blur_score, score_face
def test_quality_range_and_blur():
image = np.full((120, 120, 3), 128, dtype=np.uint8)
image[40:80, 40:80] = 255
assert blur_score(image) >= 0
score, flags = score_face(image, [30, 30, 90, 90], det_score=0.9)
asser... | 13 | 377 |
insightface | python-package/tests/gui/test_reporting.py | .py | from pathlib import Path
import pytest
from insightface.gui.core.models import EvaluationResult
from insightface.gui.core.reporting import generate_html_report, generate_markdown_report, write_reports
def _result():
return EvaluationResult(
scenario="KYC / 1:1 Verification",
model_name="buffalo_... | 75 | 2,490 |
insightface | python-package/tests/gui/test_model_downloads.py | .py | from insightface.gui.core.model_downloads import GFPGAN_DOWNLOAD_URL, _content_range_total, fallback_model_assets, local_model_status
from insightface.gui.core.paths import default_workspace, workspace_paths
def test_default_gui_workspace_path():
workspace = default_workspace()
assert workspace.name == "gui"
... | 43 | 1,890 |
insightface | python-package/tests/gui/test_similarity.py | .py | import numpy as np
from insightface.gui.core.recognition import cosine_similarity, normalize_embedding, search_gallery
def test_similarity_and_topk():
emb = normalize_embedding(np.array([3.0, 4.0], dtype=np.float32))
assert np.allclose(np.linalg.norm(emb), 1.0)
assert cosine_similarity([1, 0], [1, 0]) ==... | 18 | 825 |
insightface | python-package/tests/gui/test_clustering.py | .py | import numpy as np
from insightface.gui.core.clustering import cluster_embeddings_dbscan
def test_dbscan_default_distance_threshold_groups_near_faces():
embeddings = [
np.array([1.0, 0.0], dtype=np.float32),
np.array([0.98, 0.08], dtype=np.float32),
np.array([0.0, 1.0], dtype=np.float32),... | 62 | 1,993 |
insightface | python-package/tests/gui/test_i18n.py | .py | import os
import pytest
os.environ.setdefault("QT_QPA_PLATFORM", "offscreen")
from insightface.gui.core.i18n import (
LANGUAGE_OPTIONS,
effective_language,
normalize_language,
tr,
)
def test_supported_languages_match_homepage_language_set():
values = {option.value for option in LANGUAGE_OPTIONS... | 181 | 6,644 |
insightface | python-package/tests/gui/test_qt_plugins.py | .py | import os
import sys
from pathlib import Path
import pytest
def _platform_plugin_names():
if sys.platform == "darwin":
return {"libqcocoa.dylib", "libqoffscreen.dylib"}
if sys.platform.startswith("win"):
return {"qwindows.dll", "qoffscreen.dll"}
if sys.platform.startswith("linux"):
... | 60 | 2,033 |
insightface | python-package/tests/gui/test_navigation.py | .py | import os
from insightface.gui.core.config import AppConfig, load_config, save_config
from insightface.gui.core.navigation import AppMode, GLOBAL_PAGE_TITLES, NAVIGATION_MODES
def test_navigation_modes_do_not_include_global_sidebar_items():
assert set(NAVIGATION_MODES) == set(AppMode)
all_page_keys = []
... | 99 | 3,257 |
insightface | python-package/tests/gui/test_swap.py | .py | import numpy as np
from insightface.gui.core.swap import GFPGANRestorer
class _FakeSession:
def __init__(self):
self.input_shape = None
def run(self, output_names, inputs):
del output_names
tensor = next(iter(inputs.values()))
self.input_shape = tensor.shape
return [n... | 28 | 771 |
insightface | python-package/tests/gui/test_cli.py | .py | from insightface.gui.__main__ import main
from insightface.gui.app import create_context
from insightface.gui.core.config import AppConfig, save_config
def test_cli_import_and_version(capsys):
import insightface
import insightface.gui
assert insightface.__version__ == "1.0.1"
assert insightface.gui._... | 41 | 1,199 |
insightface | python-package/tests/gui/test_detector_det_size.py | .py | from insightface.app import FaceAnalysis
from insightface.model_zoo import model_zoo
from insightface.model_zoo.retinaface import RetinaFace
from insightface.model_zoo.scrfd import DEFAULT_DET_SIZES, SCRFD
from insightface.gui.core.face_engine import FaceEngine
def test_scrfd_accepts_multi_det_size_config():
asse... | 88 | 2,837 |
insightface | python-package/tests/gui/test_enterprise_evaluation.py | .py | from pathlib import Path
import numpy as np
from insightface.gui.core.evaluation import (
MULTI_FACE_REQUIRE_ONE,
MULTI_FACE_SKIP,
MULTI_FACE_USE_CENTERED_LARGEST,
MULTI_FACE_USE_LARGEST,
_select_face_from_faces,
_tar_far_from_scores,
run_identity_identification_evaluation,
run_identit... | 284 | 8,548 |
insightface | reconstruction/PBIDR/code/preprocess/get_aux_dataset.py | .py | import os
import sys
sys.path.append(os.path.abspath(''))
import torch
import argparse
import numpy as np
from pytorch3d.io import load_objs_as_meshes, save_obj,load_obj
from pytorch3d.renderer import (
look_at_view_transform,
PerspectiveCameras,
# FoVPerspectiveCameras,
PointLights,
# DirectionalLi... | 158 | 6,404 |
insightface | reconstruction/PBIDR/code/preprocess/preprocess_cameras.py | .py | import numpy as np
import matplotlib.image as mpimg
import matplotlib.pyplot as plt
import cv2
import argparse
from glob import glob
import os
import sys
import pickle
sys.path.append('../code')
from scipy.spatial.transform import Rotation
import utils.general as utils
def get_Ps_from_Faces(R, T):
Ps = []
cam... | 100 | 3,363 |
insightface | reconstruction/PBIDR/code/datasets/dataset.py | .py | import os
import torch
import numpy as np
import utils.general as utils
from utils import rend_util
class IFDataset(torch.utils.data.Dataset):
"""Dataset for a class of objects, where each datapoint is a SceneInstanceDataset."""
def __init__(self,
train_cameras,
data_dir,
... | 155 | 5,822 |
insightface | reconstruction/PBIDR/code/evaluation/eval.py | .py | import sys
sys.path.append('../code')
import argparse
import GPUtil
import os
from pyhocon import ConfigFactory
import torch
import numpy as np
import cvxpy as cp
from PIL import Image
import math
import utils.general as utils
import utils.plots as plt
from utils import rend_util
def evaluate(**kwargs):
torch.set... | 212 | 9,657 |
insightface | reconstruction/PBIDR/code/model/renderer.py | .py | import torch
import torch.nn as nn
import numpy as np
import trimesh
import os
from utils import rend_util
from model.embedder import *
from model.ray_tracing import RayTracing
from model.sample_network import SampleNetwork
def barycentric_coordinates(p, select_vertices):
a = select_vertices[:, 0, :]
b = se... | 461 | 17,023 |
insightface | reconstruction/PBIDR/code/model/sample_network.py | .py | import torch.nn as nn
import torch
class SampleNetwork(nn.Module):
'''
Represent the intersection (sample) point as differentiable function of the implicit geometry and camera parameters.
See equation 3 in the paper for more details.
'''
def forward(self, surface_output, surface_sdf_values, surfac... | 21 | 900 |
insightface | reconstruction/PBIDR/code/model/ray_tracing.py | .py | import torch
import torch.nn as nn
from utils import rend_util
class RayTracing(nn.Module):
def __init__(
self,
object_bounding_sphere=1.0,
sdf_threshold=5.0e-5,
line_search_step=0.5,
line_step_iters=1,
sphere_tracing_iters=10,
n_s... | 302 | 15,667 |
insightface | reconstruction/PBIDR/code/model/embedder.py | .py | import torch
""" Positional encoding embedding. Code was taken from https://github.com/bmild/nerf. """
class Embedder:
def __init__(self, **kwargs):
self.kwargs = kwargs
self.create_embedding_fn()
def create_embedding_fn(self):
embed_fns = []
d = self.kwargs['input_dims']
... | 51 | 1,521 |
insightface | reconstruction/PBIDR/code/model/loss.py | .py | import torch
from torch import nn
from torch.nn import functional as F
class IFLoss(nn.Module):
def __init__(self, eikonal_weight, mask_weight, reg_weight, normal_weight, alpha):
super().__init__()
self.eikonal_weight = eikonal_weight
self.mask_weight = mask_weight
self.reg_weight =... | 70 | 3,017 |
insightface | reconstruction/PBIDR/code/utils/rend_util.py | .py | import numpy as np
import imageio
import skimage
import cv2
import torch
from torch.nn import functional as F
def load_rgb(path):
img = imageio.imread(path)
img = skimage.img_as_float32(img)
# pixel values between [-1,1]
img -= 0.5
img *= 2.
img = img.transpose(2, 0, 1)
return img
def loa... | 193 | 6,023 |
insightface | reconstruction/PBIDR/code/utils/general.py | .py | import os
from glob import glob
import torch
def mkdir_ifnotexists(directory):
if not os.path.exists(directory):
os.mkdir(directory)
def get_class(kls):
parts = kls.split('.')
module = ".".join(parts[:-1])
m = __import__(module)
for comp in parts[1:]:
m = getattr(m, comp)
retur... | 66 | 2,338 |
insightface | reconstruction/PBIDR/code/utils/plots.py | .py | import plotly.graph_objs as go
import plotly.offline as offline
import numpy as np
import torch
from skimage import measure
import torchvision
import trimesh
from PIL import Image
from utils import rend_util
import pickle
def plot_latent(model, latent, indices, model_outputs ,pose, rgb_gt, path, epoch, img_res, plot_... | 424 | 17,365 |
insightface | reconstruction/PBIDR/code/training/train.py | .py | import os
from datetime import datetime
from pyhocon import ConfigFactory
import sys
import torch
import torch.nn as nn
import utils.general as utils
import utils.plots as plt
class IFTrainRunner():
def __init__(self,**kwargs):
torch.set_default_dtype(torch.float32)
torch.set_num_threads(1)
... | 284 | 13,809 |
insightface | reconstruction/PBIDR/code/training/runner.py | .py | import sys
sys.path.append('../code')
import argparse
import GPUtil
import torch
import random
import numpy as np
from training.train import IFTrainRunner
def setup_seed(seed):
torch.manual_seed(seed)
torch.cuda.manual_seed_all(seed)
np.random.seed(seed)
random.seed(seed)
torch.backends.cudnn.det... | 59 | 2,629 |
insightface | reconstruction/gaze/models.py | .py | import pytorch_lightning as pl
from pytorch_lightning.callbacks import ModelCheckpoint
from pytorch_lightning.callbacks import LearningRateMonitor
from pytorch_lightning.loggers import TensorBoardLogger
import torch
import torch.nn as nn
import timm
class GazeModel(pl.LightningModule):
def __init__(self, backbone,... | 76 | 2,698 |
insightface | reconstruction/gaze/test_gaze.py | .py |
from models import GazeModel
import sys
import glob
import torch
import os
import os.path as osp
import numpy as np
import cv2
import os.path as osp
import insightface
from insightface.app import FaceAnalysis
from insightface.utils import face_align
import menpo.io as mio
from menpo.image import Image
from menpo.shape... | 240 | 8,943 |
insightface | reconstruction/gaze/trainer_gaze.py | .py | from argparse import ArgumentParser
import os
import os.path as osp
import torch
import torch.nn as nn
from torch.nn import functional as F
from torch.utils.data import DataLoader
import pytorch_lightning as pl
from pytorch_lightning.callbacks import ModelCheckpoint
from pytorch_lightning.callbacks import LearningRate... | 90 | 2,761 |
insightface | reconstruction/gaze/datasets/dataset_gaze.py | .py | import os
import os.path as osp
import queue as Queue
import mxnet as mx
import pickle
import threading
import logging
import numpy as np
import insightface
from insightface.utils import face_align
import torch
from torch.utils.data import DataLoader, Dataset
from torchvision import transforms
import cv2
import albumen... | 185 | 6,703 |
insightface | reconstruction/gaze/datasets/augs.py | .py | import numpy as np
import albumentations as A
from albumentations.core.transforms_interface import ImageOnlyTransform
class RectangleBorderAugmentation(ImageOnlyTransform):
def __init__(
self,
fill_value = 0,
limit = 0.3,
always_apply=False,
p=1.0,
... | 41 | 1,332 |
insightface | reconstruction/jmlr/eye_dataset.py | .py | import os
import os.path as osp
import numpy as np
import menpo.io as mio
def project_shape_in_image(verts, R_t, M_proj, M1):
verts_homo = verts
if verts_homo.shape[1] == 3:
ones = np.ones([verts_homo.shape[0], 1])
verts_homo = np.concatenate([verts_homo, ones], axis=1)
verts_out = verts_h... | 72 | 2,884 |
insightface | reconstruction/jmlr/losses.py | .py | import torch
from torch import nn
import torch.nn.functional as F
import kornia
import numpy as np
#def loss_l1(a, b):
#_loss = torch.abs(a - b)
#_loss = torch.mean(_loss, dim=1)
##if epoch>4 and cfg.loss_hard:
## _loss, _ = torch.topk(_loss, k=int(cfg.batch_size*0.3))
#_loss = torch.mean(_loss)... | 112 | 4,223 |
insightface | reconstruction/jmlr/train.py | .py | import argparse
import logging
import os
import time
import timm
import glob
import numpy as np
import os.path as osp
import torch
import torch.distributed as dist
from torch import nn
import torch.nn.functional as F
import torch.utils.data.distributed
from torch.nn.utils import clip_grad_norm_
from dataset import Fac... | 304 | 10,804 |
insightface | reconstruction/jmlr/flops.py | .py | from ptflops import get_model_complexity_info
import os
import argparse
from utils.utils_config import get_config
from backbones import get_network
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='JMLR FLOPs')
parser.add_argument('config', type=str, help='input config file')
args =... | 26 | 927 |
insightface | reconstruction/jmlr/rec_builder.py | .py | import pickle
import numpy as np
import os
import os.path as osp
import glob
import argparse
import cv2
import time
import datetime
import pickle
import sklearn
import mxnet as mx
from utils.utils_config import get_config
from dataset import FaceDataset, Rt26dof
class RecBuilder():
def __init__(self, path, image_s... | 136 | 4,944 |
insightface | reconstruction/jmlr/inference_simple.py | .py |
import os
import time
import timm
import glob
import numpy as np
import os.path as osp
import cv2
import torch
import torch.distributed as dist
from torch import nn
from pathlib import Path
from backbones import get_network
from skimage import transform as sktrans
from scipy.spatial.transform import Rotation
def bat... | 323 | 11,775 |
insightface | reconstruction/jmlr/lr_scheduler.py | .py | import torch
from torch.optim.lr_scheduler import _LRScheduler
class PolyScheduler(_LRScheduler):
def __init__(self,
optimizer,
base_lr,
max_steps,
warmup_steps,
last_epoch=-1):
self.base_lr = base_lr
self.warmup_... | 94 | 3,225 |
insightface | reconstruction/jmlr/gen_dataset_meta.py | .py | import pickle
import numpy as np
import os
import os.path as osp
import glob
import argparse
import cv2
import time
import datetime
import pickle
import sklearn
import mxnet as mx
from utils.utils_config import get_config
from dataset import MXFaceDataset, Rt26dof
if __name__ == "__main__":
cfg = get_config('confi... | 36 | 1,032 |
insightface | reconstruction/jmlr/validate_dist.py | .py | from dataset import FaceDataset, DataLoaderX, MXFaceDataset
import argparse
import logging
import os
import time
import timm
import glob
import numpy as np
import os.path as osp
from utils.utils_config import get_config
from scipy.spatial.transform import Rotation
import torch
import torch.distributed as dist
from tor... | 187 | 8,092 |
insightface | reconstruction/jmlr/dataset.py | .py | import numbers
import os
import os.path as osp
import pickle
import queue as Queue
import threading
import logging
import numbers
import math
import pandas as pd
from scipy.spatial.transform import Rotation
import mxnet as mx
from pathlib import Path
import numpy as np
import torch
from torch.utils.data import DataLoa... | 812 | 33,526 |
insightface | reconstruction/jmlr/augs.py | .py | import numpy as np
import cv2
import os
import os.path as osp
import albumentations as A
from albumentations.core.transforms_interface import ImageOnlyTransform
from albumentations.pytorch import ToTensorV2
class RectangleBorderAugmentation(ImageOnlyTransform):
def __init__(
self,
fill_val... | 272 | 10,387 |
insightface | reconstruction/jmlr/backbones/resnet.py | .py | """PyTorch ResNet
This started as a copy of https://github.com/pytorch/vision 'resnet.py' (BSD-3-Clause) with
additional dropout and dynamic global avg/max pool.
ResNeXt, SE-ResNeXt, SENet, and MXNet Gluon stem/downsample variants, tiered stems added by Ross Wightman
Copyright 2019, Ross Wightman
"""
import math
fro... | 454 | 18,960 |
insightface | reconstruction/jmlr/backbones/network.py | .py | import os
import time
import timm
import glob
import numpy as np
import os.path as osp
import torch
import torch.distributed as dist
from torch import nn
import torch.nn.functional as F
from .iresnet import get_model as arcface_get_model
def kaiming_leaky_init(m):
classname = m.__class__.__name__
if classnam... | 261 | 9,250 |
insightface | reconstruction/jmlr/backbones/iresnet.py | .py | import torch
from torch import nn
import torch.nn.functional as F
import logging
__all__ = ['iresnet18', 'iresnet34', 'iresnet50', 'iresnet100', 'iresnet200']
def conv3x3(in_planes, out_planes, stride=1, groups=1, dilation=1):
"""3x3 convolution with padding"""
return nn.Conv2d(in_planes,
... | 327 | 13,303 |
insightface | reconstruction/jmlr/utils/plot.py | .py | # coding: utf-8
import os
from pathlib import Path
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from menpo.visualize.viewmatplotlib import sample_colours_from_colourmap
from prettytable import PrettyTable
from sklearn.metrics import roc_curve, auc
image_path = "/data/anxiang/IJB_release/IJB... | 73 | 2,222 |
insightface | reconstruction/jmlr/utils/utils_amp.py | .py | from typing import Dict, List
import torch
#from torch._six import container_abcs
import collections.abc as container_abcs
from torch.cuda.amp import GradScaler
class _MultiDeviceReplicator(object):
"""
Lazily serves copies of a tensor to requested devices. Copies are cached per-device.
"""
def __i... | 83 | 3,229 |
insightface | reconstruction/jmlr/utils/utils_logging.py | .py | import logging
import os
import sys
class AverageMeter(object):
"""Computes and stores the average and current value
"""
def __init__(self):
self.val = None
self.avg = None
self.sum = None
self.count = None
self.reset()
def reset(self):
self.val = 0
... | 41 | 1,081 |
insightface | reconstruction/jmlr/utils/utils_callbacks.py | .py | import logging
import os
import time
from typing import List
import torch
import psutil
#from eval import verification
#from partial_fc import PartialFC
#from torch2onnx import convert_onnx
from utils.utils_logging import AverageMeter
class CallBackVerification(object):
def __init__(self, frequent, rank, val_ta... | 130 | 5,429 |
insightface | reconstruction/jmlr/utils/utils_config.py | .py | import importlib
import os
import os.path as osp
import numpy as np
def get_config(config_file):
assert config_file.startswith('configs/'), 'config file setting must start with configs/'
temp_config_name = osp.basename(config_file)
temp_module_name = osp.splitext(temp_config_name)[0]
#print('A:', confi... | 28 | 934 |
insightface | reconstruction/jmlr/configs/s1.py | .py | from easydict import EasyDict as edict
config = edict()
config.dataset = "wcpa"
config.root_dir = '/data/insightface/wcpa'
config.cache_dir = './cache_align'
#config.num_classes = 617970
#config.num_classes = 2000000
#config.num_classes = 80000000
#config.val_targets = ["lfw", "cfp_fp", "agedb_30"]
#config.val_target... | 55 | 1,227 |
insightface | reconstruction/jmlr/configs/s2.py | .py | from easydict import EasyDict as edict
config = edict()
config.dataset = "wcpa"
config.root_dir = '/data/insightface/wcpa'
config.cache_dir = './cache_align_eyes'
#config.num_classes = 617970
#config.num_classes = 2000000
#config.num_classes = 80000000
#config.val_targets = ["lfw", "cfp_fp", "agedb_30"]
#config.val_t... | 58 | 1,298 |
insightface | reconstruction/jmlr/configs/base.py | .py | from easydict import EasyDict as edict
import numpy as np
config = edict()
config.embedding_size = 512
config.sample_rate = 1
config.fp16 = 0
config.tf32 = False
config.backbone_wd = None
config.batch_size = 128
config.clip_grad = None
config.dropout = 0.0
#config.warmup_epoch = -1
config.loss = 'cosface'
config.margi... | 106 | 2,604 |
insightface | reconstruction/ostec/run_ostec.py | .py | # Copyright (c) 2020, Baris Gecer. All rights reserved.
#
# This work is made available under the CC BY-NC-SA 4.0.
# To view a copy of this license, see LICENSE
import time
import os
import glob
from random import shuffle
import argparse
from argparse import Namespace
import menpo.io as mio
import menpo.image
import c... | 94 | 3,826 |
insightface | reconstruction/ostec/core/generator_model.py | .py | # Copyright (c) 2020, Baris Gecer. All rights reserved.
#
# This work is made available under the CC BY-NC-SA 4.0.
# To view a copy of this license, see LICENSE
import math
import tensorflow as tf
import numpy as np
import external.stylegan2.dnnlib.tflib as tflib
from functools import partial
def create_stub(name, b... | 142 | 7,228 |
insightface | reconstruction/ostec/core/projection_handler.py | .py | # Copyright (c) 2020, Baris Gecer. All rights reserved.
#
# This work is made available under the CC BY-NC-SA 4.0.
# To view a copy of this license, see LICENSE
import os
import argparse
import pickle
from tqdm.auto import tqdm
import PIL.Image
from PIL import ImageFilter
import numpy as np
import external.stylegan2.d... | 200 | 9,991 |
insightface | reconstruction/ostec/core/landmark_handler.py | .py | # Copyright (c) 2020, Baris Gecer. All rights reserved.
#
# This work is made available under the CC BY-NC-SA 4.0.
# To view a copy of this license, see LICENSE
import tensorflow as tf
from external.landmark_detector import networks
from external.landmark_detector.flags import FLAGS
def tf_heatmap_to_lms(heatmap):
... | 36 | 1,378 |
insightface | reconstruction/ostec/core/perceptual_model.py | .py | # Copyright (c) 2020, Baris Gecer. All rights reserved.
#
# This work is made available under the CC BY-NC-SA 4.0.
# To view a copy of this license, see LICENSE
from __future__ import absolute_import, division, print_function, unicode_literals
import tensorflow as tf
import bz2
import PIL.Image
from PIL import ImageFi... | 305 | 16,023 |
insightface | reconstruction/ostec/core/config.py | .py | # Copyright (c) 2020, Baris Gecer. All rights reserved.
#
# This work is made available under the CC BY-NC-SA 4.0.
# To view a copy of this license, see LICENSE
import argparse
def split_to_batches(l, n):
for i in range(0, len(l), n):
yield l[i:i + n]
def str2bool(v):
if isinstance(v, bool):
r... | 96 | 7,976 |
insightface | reconstruction/ostec/core/operator.py | .py | # Copyright (c) 2020, Baris Gecer. All rights reserved.
#
# This work is made available under the CC BY-NC-SA 4.0.
# To view a copy of this license, see LICENSE
from utils.align2stylegan import align_im2stylegan, align_mesh2stylegan
from core.projection_handler import Projection_Handler
from skimage.morphology import ... | 436 | 20,184 |
insightface | reconstruction/ostec/core/arcface_handler.py | .py | # Copyright (c) 2020, Baris Gecer. All rights reserved.
#
# This work is made available under the CC BY-NC-SA 4.0.
# To view a copy of this license, see LICENSE
import tensorflow as tf
import numpy as np
from external import arcface50
from skimage import transform as trans
def align_arcface(image, landmarks):
""... | 117 | 4,585 |
insightface | reconstruction/ostec/utils/shading.py | .py | # Copyright (c) 2020, Baris Gecer. All rights reserved.
#
# This work is made available under the CC BY-NC-SA 4.0.
# To view a copy of this license, see LICENSE
""" Renders 3D faces in python with lambertian shading
Author: Stylianos Ploumpis """
import numpy as np
from menpo.transform import UniformScale, Transl... | 66 | 2,274 |
insightface | reconstruction/ostec/utils/utils.py | .py | # Copyright (c) 2020, Baris Gecer. All rights reserved.
#
# This work is made available under the CC BY-NC-SA 4.0.
# To view a copy of this license, see LICENSE
import PIL.Image
from skimage.morphology import binary_dilation, disk
from skimage.filters import gaussian
from scipy.interpolate import NearestNDInterpolato... | 171 | 7,103 |
insightface | reconstruction/ostec/utils/generate_heatmap.py | .py | import numpy as np
import math
import cv2
# Adapted from: https://github.com/1adrianb/face-alignment/blob/master/face_alignment/utils.py
def _gaussian(size=3, sigma=0.25, amplitude=1, normalize=False, width=None, height=None, sigma_horz=None,
sigma_vert=None, mean_horz=0.5, mean_vert=0.5):
""" Genera... | 129 | 4,861 |
insightface | reconstruction/ostec/utils/ganfit_camera.py | .py | # Copyright (c) 2020, Baris Gecer. All rights reserved.
#
# This work is made available under the CC BY-NC-SA 4.0.
# To view a copy of this license, see LICENSE
import numpy as np
import math
"""Collection of functions to adapt GANFit camera parameters"""
GANFIT_CAMERA_CONSTANTS = [np.array([[0.0, 0.0, 6.0]], dtype=... | 260 | 9,601 |
insightface | reconstruction/ostec/utils/image_rasterization.py | .py | # Copyright (c) 2020, Baris Gecer. All rights reserved.
#
# This work is made available under the CC BY-NC-SA 4.0.
# To view a copy of this license, see LICENSE
from menpo3d.rasterize import (
rasterize_barycentric_coordinate_images,
rasterize_mesh_from_barycentric_coordinate_images)
from menpo.transform impo... | 70 | 2,946 |
insightface | reconstruction/ostec/utils/align2stylegan.py | .py | # Copyright (c) 2020, Baris Gecer. All rights reserved.
#
# This work is made available under the CC BY-NC-SA 4.0.
# To view a copy of this license, see LICENSE
import numpy as np
import scipy.ndimage
import PIL.Image
def create_perspective_transform_matrix(src, dst):
""" Creates a perspective transformation matr... | 235 | 9,836 |
insightface | reconstruction/ostec/external/arcface50.py | .py | # Copyright (c) 2020, Baris Gecer. All rights reserved.
#
# This work is made available under the CC BY-NC-SA 4.0.
# To view a copy of this license, see LICENSE
import tensorflow as tf
__weights_dict = dict()
is_train = False
def load_weights(weight_file):
import numpy as np
if weight_file == None:
... | 298 | 27,626 |
insightface | reconstruction/ostec/external/landmark_detector/utils.py | .py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import tensorflow as tf
import menpo.io as mio
from menpo.image import Image
from menpo.shape import PointCloud
import cv2
from tensorflow.python.framework import ops
from tensorflow.python.... | 422 | 15,450 |
insightface | reconstruction/ostec/external/landmark_detector/models.py | .py | import tensorflow as tf
import numpy as np
slim = tf.contrib.slim
# custom layers
def deconv_layer(net, up_scale, n_channel, method='transpose'):
nh = tf.shape(net)[-3] * up_scale
nw = tf.shape(net)[-2] * up_scale
if method == 'transpose':
net = slim.conv2d_transpose(net, n_channel, (up_scale, u... | 1,334 | 96,462 |
insightface | reconstruction/ostec/external/landmark_detector/networks.py | .py | import tensorflow as tf
from external.landmark_detector import utils, models, data_provider
from tensorflow.python.platform import tf_logging as logging
slim = tf.contrib.slim
from external.landmark_detector.flags import FLAGS
# general framework
class DeepNetwork(object):
def __init__(self):
pass
... | 181 | 6,247 |
insightface | reconstruction/ostec/external/landmark_detector/flags.py | .py | import tensorflow as tf
slim = tf.contrib.slim
FLAGS = tf.app.flags.FLAGS
tf.app.flags.DEFINE_float('initial_learning_rate', 0.0001, '''Initial learning rate.''')
tf.app.flags.DEFINE_float('num_epochs_per_decay', 5.0, '''Epochs after which learning rate decays.''')
tf.app.flags.DEFINE_float('learning_rate_decay_facto... | 32 | 1,970 |
insightface | reconstruction/ostec/external/landmark_detector/data_provider.py | .py | import tensorflow as tf
import numpy as np
from menpo.transform import Translation
from external.landmark_detector.flags import FLAGS
def augment_img(img, augmentation):
flip, rotate, rescale = np.array(augmentation).squeeze()
rimg = img.rescale(rescale)
rimg = rimg.rotate_ccw_about_centre(rotate)
cr... | 237 | 8,869 |
insightface | reconstruction/ostec/external/stylegan2/projector.py | .py | # Copyright (c) 2019, NVIDIA Corporation. All rights reserved.
#
# This work is made available under the Nvidia Source Code License-NC.
# To view a copy of this license, visit
# https://nvlabs.github.io/stylegan2/license.html
import numpy as np
import tensorflow as tf
import dnnlib
import dnnlib.tflib as tflib
from t... | 207 | 8,983 |
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