github/DeepFaceLab
1
0
Fork 0
mirror of https://github.com/iperov/DeepFaceLab.git synced 2025-07-08 05:51:40 -07:00
Code Issues Projects Releases Packages Wiki Activity Actions

fixes

Browse source
This commit is contained in:
Colombo 2020-03-16 22:40:55 +04:00
parent 2300da40e9
commit f3b4658810
3 changed files with 14 additions and 14 deletions
Download patch file Download diff file Expand all files Collapse all files

4
core/imagelib/warp.py
View file

@ -25,8 +25,8 @@ def gen_warp_params (w, flip, rotation_range=[-10,10], scale_range=[-0.5, 0.5],
half_cell_size = cell_size // 2 half_cell_size = cell_size // 2
mapx = cv2.resize(mapx, (w+cell_size,)*2 )[half_cell_size:-half_cell_size-1,half_cell_size:-half_cell_size-1].astype(np.float32) mapx = cv2.resize(mapx, (w+cell_size,)*2 )[half_cell_size:-half_cell_size,half_cell_size:-half_cell_size].astype(np.float32)
mapy = cv2.resize(mapy, (w+cell_size,)*2 )[half_cell_size:-half_cell_size-1,half_cell_size:-half_cell_size-1].astype(np.float32) mapy = cv2.resize(mapy, (w+cell_size,)*2 )[half_cell_size:-half_cell_size,half_cell_size:-half_cell_size].astype(np.float32)
#random transform #random transform
random_transform_mat = cv2.getRotationMatrix2D((w // 2, w // 2), rotation, scale) random_transform_mat = cv2.getRotationMatrix2D((w // 2, w // 2), rotation, scale)

2
samplelib/Sample.py
View file

@ -64,7 +64,7 @@ class Sample(object):
def get_pitch_yaw_roll(self): def get_pitch_yaw_roll(self):
if self.pitch_yaw_roll is None: if self.pitch_yaw_roll is None:
self.pitch_yaw_roll = LandmarksProcessor.estimate_pitch_yaw_roll(landmarks, size=self.shape[1]) self.pitch_yaw_roll = LandmarksProcessor.estimate_pitch_yaw_roll(self.landmarks, size=self.shape[1])
return self.pitch_yaw_roll return self.pitch_yaw_roll
def set_filename_offset_size(self, filename, offset, size): def set_filename_offset_size(self, filename, offset, size):

14
samplelib/SampleProcessor.py
View file

@ -1,4 +1,5 @@
import collections import collections
import math
from enum import IntEnum from enum import IntEnum
import cv2 import cv2
@ -7,6 +8,7 @@ import numpy as np
from core import imagelib from core import imagelib
from facelib import FaceType, LandmarksProcessor from facelib import FaceType, LandmarksProcessor
class SampleProcessor(object): class SampleProcessor(object):
class SampleType(IntEnum): class SampleType(IntEnum):
NONE = 0 NONE = 0
@ -115,7 +117,7 @@ class SampleProcessor(object):
if not is_face_sample: if not is_face_sample:
raise ValueError("face_samples should be provided for sample_type FACE_*") raise ValueError("face_samples should be provided for sample_type FACE_*")
if is_face_sample: if sample_type == SPST.FACE_IMAGE or sample_type == SPST.FACE_MASK:
face_type = opts.get('face_type', None) face_type = opts.get('face_type', None)
face_mask_type = opts.get('face_mask_type', SPFMT.NONE) face_mask_type = opts.get('face_mask_type', SPFMT.NONE)
@ -125,7 +127,6 @@ class SampleProcessor(object):
if face_type > sample.face_type: if face_type > sample.face_type:
raise Exception ('sample %s type %s does not match model requirement %s. Consider extract necessary type of faces.' % (sample.filename, sample.face_type, face_type) ) raise Exception ('sample %s type %s does not match model requirement %s. Consider extract necessary type of faces.' % (sample.filename, sample.face_type, face_type) )
if sample_type == SPST.FACE_IMAGE or sample_type == SPST.FACE_MASK:
if sample_type == SPST.FACE_MASK: if sample_type == SPST.FACE_MASK:
@ -175,12 +176,12 @@ class SampleProcessor(object):
else: else:
if w != resolution: if w != resolution:
img = cv2.resize( img, (resolution, resolution), cv2.INTER_CUBIC ) img = cv2.resize( img, (resolution, resolution), cv2.INTER_CUBIC )
img = imagelib.warp_by_params (params_per_resolution[resolution], img, warp, transform, can_flip=True, border_replicate=border_replicate) img = imagelib.warp_by_params (params_per_resolution[resolution], img, warp, transform, can_flip=True, border_replicate=border_replicate)
img = np.clip(img.astype(np.float32), 0, 1) img = np.clip(img.astype(np.float32), 0, 1)
# Apply random color transfer # Apply random color transfer
if ct_mode is not None and ct_sample is not None: if ct_mode is not None and ct_sample is not None:
if ct_sample_bgr is None: if ct_sample_bgr is None:
@ -273,9 +274,8 @@ class SampleProcessor(object):
l = np.clip(l, 0.0, 1.0) l = np.clip(l, 0.0, 1.0)
out_sample = l out_sample = l
elif sample_type == SPST.PITCH_YAW_ROLL or sample_type == SPST.PITCH_YAW_ROLL_SIGMOID: elif sample_type == SPST.PITCH_YAW_ROLL or sample_type == SPST.PITCH_YAW_ROLL_SIGMOID:
pitch_yaw_roll = sample.get_pitch_yaw_roll() pitch,yaw,roll = sample.get_pitch_yaw_roll()
if params_per_resolution[resolution]['flip']:
if params['flip']:
yaw = -yaw yaw = -yaw
if sample_type == SPST.PITCH_YAW_ROLL_SIGMOID: if sample_type == SPST.PITCH_YAW_ROLL_SIGMOID:
@ -283,7 +283,7 @@ class SampleProcessor(object):
yaw = np.clip( (yaw / math.pi) / 2.0 + 0.5, 0, 1) yaw = np.clip( (yaw / math.pi) / 2.0 + 0.5, 0, 1)
roll = np.clip( (roll / math.pi) / 2.0 + 0.5, 0, 1) roll = np.clip( (roll / math.pi) / 2.0 + 0.5, 0, 1)
out_sample = (pitch, yaw, roll) out_sample = (pitch, yaw)
else: else:
raise ValueError ('expected sample_type') raise ValueError ('expected sample_type')