From b215992b7a187782cf494ab9f291195ffde9278e Mon Sep 17 00:00:00 2001
From: natanielruiz <nataniel777@hotmail.com>
Date: 星期五, 11 八月 2017 05:23:31 +0800
Subject: [PATCH] One shape param experiment
---
code/datasets.py | 22 +++++++++++++++++-----
1 files changed, 17 insertions(+), 5 deletions(-)
diff --git a/code/datasets.py b/code/datasets.py
index 06cd433..29800fe 100644
--- a/code/datasets.py
+++ b/code/datasets.py
@@ -7,6 +7,10 @@
import utils
+def stack_grayscale_tensor(tensor):
+ tensor = torch.cat([tensor, tensor, tensor], 0)
+ return tensor
+
class Pose_300W_LP(Dataset):
def __init__(self, data_dir, filename_path, transform, img_ext='.jpg', annot_ext='.mat'):
self.data_dir = data_dir
@@ -66,7 +70,7 @@
return self.length
class Pose_300W_LP_binned(Dataset):
- def __init__(self, data_dir, filename_path, transform, img_ext='.jpg', annot_ext='.mat'):
+ def __init__(self, data_dir, filename_path, transform, img_ext='.jpg', annot_ext='.mat', image_mode='RGB'):
self.data_dir = data_dir
self.transform = transform
self.img_ext = img_ext
@@ -76,12 +80,14 @@
self.X_train = filename_list
self.y_train = filename_list
+ self.image_mode = image_mode
self.length = len(filename_list)
def __getitem__(self, index):
img = Image.open(os.path.join(self.data_dir, self.X_train[index] + self.img_ext))
- img = img.convert('RGB')
+ img = img.convert(self.image_mode)
mat_path = os.path.join(self.data_dir, self.y_train[index] + self.annot_ext)
+ shape_path = os.path.join(self.data_dir, self.y_train[index] + '_shape.npy')
# Crop the face
pt2d = utils.get_pt2d_from_mat(mat_path)
@@ -105,7 +111,12 @@
roll = pose[2] * 180 / np.pi
# Bin values
bins = np.array(range(-99, 102, 3))
- labels = torch.LongTensor(np.digitize([yaw, pitch, roll], bins) - 1)
+ binned_pose = np.digitize([yaw, pitch, roll], bins) - 1
+
+ # Get shape
+ shape = np.load(shape_path)
+
+ labels = torch.LongTensor(np.concatenate((binned_pose, shape), axis = 0))
if self.transform is not None:
img = self.transform(img)
@@ -117,7 +128,7 @@
return self.length
class AFLW2000_binned(Dataset):
- def __init__(self, data_dir, filename_path, transform, img_ext='.jpg', annot_ext='.mat'):
+ def __init__(self, data_dir, filename_path, transform, img_ext='.jpg', annot_ext='.mat', image_mode='RGB'):
self.data_dir = data_dir
self.transform = transform
self.img_ext = img_ext
@@ -127,11 +138,12 @@
self.X_train = filename_list
self.y_train = filename_list
+ self.image_mode = image_mode
self.length = len(filename_list)
def __getitem__(self, index):
img = Image.open(os.path.join(self.data_dir, self.X_train[index] + self.img_ext))
- img = img.convert('RGB')
+ img = img.convert(self.image_mode)
mat_path = os.path.join(self.data_dir, self.y_train[index] + self.annot_ext)
# Crop the face
--
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