617 lines
22 KiB
Python
617 lines
22 KiB
Python
import shutil
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import cv2
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from tqdm import tqdm
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from .basic_keyboard import print_help, register_keys
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from .basic_visualize import plot_text, resize_to_screen, merge
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from .basic_callback import point_callback, CV_KEY, get_key
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from .bbox_callback import callback_select_image
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from .file_utils import load_annot_to_tmp, read_json, save_annot
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import copy
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class ComposedCallback:
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def __init__(self, callbacks=[point_callback], processes=[]) -> None:
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self.callbacks = callbacks
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self.processes = processes
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def call(self, event, x, y, flags, param):
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scale = param['scale']
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x, y = int(round(x/scale)), int(round(y/scale))
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for callback in self.callbacks:
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callback(event, x, y, flags, param)
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for key in ['click', 'start', 'end']:
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if param[key] is not None:
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break
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else:
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return 0
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for process in self.processes:
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ret = process(**param)
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if ret: # 操作成功，结束
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param['click'] = None
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param['start'] = None
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param['end'] = None
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def get_valid_yn():
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while True:
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key = input('Saving this annotations? [y/n]')
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if key in ['y', 'n']:
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break
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print('Please specify [y/n]')
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return key
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restore_key = {
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'body25': ('bbox', 'keypoints'),
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'handl': ('bbox_handl2d', 'handl2d'),
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'handr': ('bbox_handr2d', 'handr2d'),
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}
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class BaseWindow:
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# 2021.10.11: 考虑新的层次的抽象
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# 这个实现的基类只包含了打开一个窗口->进行标注->关闭窗口 功能
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def __init__(self, name, param, register_keys, vis_funcs, callbacks) -> None:
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self.name = name
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register_keys['h'] = print_help
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register_keys['q'] = self.quit
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register_keys['x'] = self.clear
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register_keys['Q'] = self.quit_without_save
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self.register_keys = register_keys
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self.vis_funcs = vis_funcs
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self.isOpen = True
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param['click'] = None
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param['start'] = None
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param['end'] = None
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self.param0 = copy.deepcopy(param)
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self.param = param
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cv2.namedWindow(self.name)
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callback = ComposedCallback(processes=callbacks)
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cv2.setMouseCallback(self.name, callback.call, self.param)
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def quit_without_save(self, annotator, param):
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self.quit(annotator, param, save=False)
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def clear(self, annotator, param):
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select = param['select']
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for key in select.keys():
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select[key] = -1
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for key in ['click', 'start', 'end']:
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self.param[key] = None
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def quit(self, annotator, param, save=True):
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for key in ['click', 'start', 'end']:
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if self.param[key] is not None:
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self.param[key] = None
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break
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else:
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if not save:
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for key in self.param.keys():
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self.param[key] = self.param0[key]
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else:
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self.save_and_quit()
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self.isOpen = False
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cv2.destroyWindow(self.name)
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def save_and_quit(self, key=None):
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pass
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def run(self, key=None, noshow=False):
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if key is None:
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key = chr(get_key())
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if key in self.register_keys.keys():
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self.register_keys[key](self, param=self.param)
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if not self.isOpen:
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return 0
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if noshow:
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return 0
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img = self.param['img0'].copy()
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for func in self.vis_funcs:
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img = func(img, **self.param)
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cv2.imshow(self.name, img)
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class AnnotBase:
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def __init__(self, dataset, key_funcs={}, callbacks=[], vis_funcs=[],
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name = 'main', body='body25',
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start=0, end=100000, step=10, no_window=False) -> None:
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self.name = name
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self.dataset = dataset
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self.nFrames = len(dataset)
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self.step = step
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self.register_keys = register_keys.copy()
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self.register_keys.update(key_funcs)
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self.no_img = False
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if resize_to_screen not in vis_funcs:
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vis_funcs += [resize_to_screen]
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self.vis_funcs = vis_funcs
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self.start = start
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self.end = end
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self.isOpen = True
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self._frame = self.start
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self.visited_frames = set([self._frame])
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bbox_name, kpts_name = restore_key[body]
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self.param = {
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'frame': 0, 'nFrames': self.nFrames,
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'kpts_name': kpts_name, 'bbox_name': bbox_name,
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'select': {bbox_name: -1, 'corner': -1},
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'click': None,
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'name': name,
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'body': body,
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'capture_screen':False}
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self.set_frame(self.start)
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self.no_window = no_window
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if not no_window:
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cv2.namedWindow(self.name)
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callback = ComposedCallback(processes=callbacks)
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cv2.setMouseCallback(self.name, callback.call, self.param)
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@property
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def working(self):
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param = self.param
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flag = False
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if param['click'] is not None or param['start'] is not None:
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flag = True
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for key in self.param['select']:
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if self.param['select'][key] != -1:
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flag = True
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return flag
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@staticmethod
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def clear_working(param):
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param['click'] = None
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param['start'] = None
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param['end'] = None
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for key in param['select']:
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param['select'][key] = -1
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def save_and_quit(self, key=None):
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self.frame = self.frame
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self.isOpen = False
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cv2.destroyWindow(self.name)
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# get the input
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if key is None:
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key = get_valid_yn()
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if key == 'n':
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return 0
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for frame in tqdm(self.visited_frames, desc='writing'):
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self.dataset.isTmp = True
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_, annname = self.dataset[frame]
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self.dataset.isTmp = False
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_, annname_ = self.dataset[frame]
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if annname is not None:
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shutil.copyfile(annname, annname_)
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@property
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def frame(self):
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return self._frame
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def previous(self):
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if self.frame == 0:
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print('Reach to the first frame')
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return None
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imgname, annname = self.dataset[self.frame-1]
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annots = load_annot_to_tmp(annname)
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return annots
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@staticmethod
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def set_param(param, imgname, annname, nf, no_img=False):
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annots = load_annot_to_tmp(annname)
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# 清空键盘
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for key in ['click', 'start', 'end']:
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param[key] = None
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# 清空选中
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for key in param['select']:
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param['select'][key] = -1
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param['imgname'] = imgname
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param['annname'] = annname
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param['frame'] = nf
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param['annots'] = annots
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if not no_img:
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img0 = cv2.imread(imgname)
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param['img0'] = img0
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# param['pid'] = len(annot['annots'])
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param['scale'] = min(CV_KEY.WINDOW_HEIGHT/img0.shape[0], CV_KEY.WINDOW_WIDTH/img0.shape[1])
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# param['scale'] = 1
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def set_frame(self, nf):
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param = self.param
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if 'annots' in param.keys():
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save_annot(param['annname'], param['annots'])
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self.clear_working(param)
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imgname, annname = self.dataset[nf]
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self.set_param(param, imgname, annname, nf, no_img=self.no_img)
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@frame.setter
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def frame(self, value):
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self.visited_frames.add(value)
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self._frame = value
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# save current frames
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save_annot(self.param['annname'], self.param['annots'])
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self.set_frame(value)
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def run(self, key=None, noshow=False):
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if key is None:
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key = chr(get_key())
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if key in self.register_keys.keys():
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self.register_keys[key](self, param=self.param)
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if not self.isOpen:
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return 0
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if noshow:
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return 0
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img = self.param['img0'].copy()
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for func in self.vis_funcs:
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img = func(img, **self.param)
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if not self.no_window:
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cv2.imshow(self.name, img)
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class AnnotMV:
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def __init__(self, datasets, key_funcs={}, key_funcs_view={}, callbacks=[], vis_funcs=[], vis_funcs_all=[],
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name='main', step=100, body='body25', start=0, end=100000) -> None:
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self.subs = list(datasets.keys())
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self.annotdict = {}
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self.nFrames = end
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for sub, dataset in datasets.items():
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annot = AnnotBase(dataset, key_funcs={}, callbacks=callbacks, vis_funcs=vis_funcs,
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name=sub, step=step, body=body, start=start, end=end)
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self.annotdict[sub] = annot
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self.nFrames = min(self.nFrames, annot.nFrames)
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self.isOpen = True
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# self.register_keys_view = {key:register_keys[key] for key in 'q'}
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self.register_keys_view = {}
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if 'w' not in key_funcs:
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for key in 'wasd':
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self.register_keys_view[key] = register_keys[key]
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self.register_keys_view.update(key_funcs_view)
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self.register_keys = {
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'Q': register_keys['q'],
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'h': register_keys['H'],
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'A': register_keys['A']
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}
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self.register_keys.update(key_funcs)
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self.vis_funcs_all = vis_funcs_all
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self.name = name
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self.param = {}
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@property
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def frame(self):
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sub = list(self.annotdict.keys())[0]
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return self.annotdict[sub].frame
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@property
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def working(self):
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return False
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def save_and_quit(self):
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key = get_valid_yn()
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for sub, annot in self.annotdict.items():
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annot.save_and_quit(key)
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self.isOpen = False
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def run(self, key=None, noshow=False):
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if key is None:
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key = chr(get_key())
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for sub, annot in self.annotdict.items():
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if key in self.register_keys_view.keys():
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self.register_keys_view[key](annot, param=annot.param)
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else:
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annot.run(key='')
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if key in self.register_keys.keys():
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self.register_keys[key](self, param=self.param)
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if len(self.vis_funcs_all) > 0 or True:
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imgs = []
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for sub in self.subs:
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img = self.annotdict[sub].param['img0'].copy()
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for func in self.vis_funcs_all:
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img = func(img, sub, param=self.annotdict[sub].param)
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imgs.append(img)
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imgs = merge(imgs, square=True)
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imgs = resize_to_screen(imgs, scale=CV_KEY.WINDOW_HEIGHT/imgs.shape[0])
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cv2.imshow(self.name, imgs)
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class AnnotMVMerge(BaseWindow):
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# 这个类的设计理念是
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# 只负责整体的合并与可视化，不要考虑具体的操作
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restore_key = {
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'body25': ('bbox', 'keypoints'),
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'handl': ('bbox_handl2d', 'handl2d'),
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'handr': ('bbox_handr2d', 'handr2d'),
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'face': ('bbox_face2d', 'face2d'),
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}
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def __init__(self, datasets, register_keys, vis_funcs, vis_funcs_view, callbacks, body) -> None:
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self.subs = list(datasets.keys())
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self.isOpen = True
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for key in 'wasd':
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register_keys[key] = self.get_move(key)
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register_keys['q'] = self.quit
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register_keys['h'] = print_help
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register_keys['x'] = self.clear
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self.register_keys = register_keys
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self.vis_funcs = vis_funcs
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self.vis_funcs_view = vis_funcs_view
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self.callbacks = callbacks
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self.datasets = datasets
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self.name = 'main'
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frames = {sub:0 for sub in self.subs}
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self.body = body
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bbox_name, kpts_name = self.restore_key[body]
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self.params_view = {sub:{
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'body': body, 'bbox_name': bbox_name, 'kpts_name': kpts_name,
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'select': {bbox_name:-1}} for sub in self.subs}
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imgs, annots = self.load_images_annots(self.datasets, frames)
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img0, ranges = merge(imgs, ret_range=True)
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scale = 10000./img0.shape[0]
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self.nFrames = len(self.datasets[self.subs[0]])
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self.start = 0
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self.end = self.nFrames
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self.step = 50
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self.visited_frames = {sub: set([self.start]) for sub in self.subs}
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self.param = {
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'scale': scale, 'ranges': ranges,
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'click': None, 'start': None, 'end': None,
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'frames': frames,
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'body': body, 'bbox_name': bbox_name, 'kpts_name': kpts_name,
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'select': {'camera': -1, bbox_name:-1, 'corner': -1}}
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self.param['imgs'] = imgs
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self.param['annots'] = annots
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self.no_window = False
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cv2.namedWindow(self.name)
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callback = ComposedCallback(processes=callbacks)
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cv2.setMouseCallback(self.name, callback.call, self.param)
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def save_and_quit(self, key=None):
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self.isOpen = False
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self.update_param()
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cv2.destroyWindow(self.name)
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# get the input
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if key is None:
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key = get_valid_yn()
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if key == 'n':
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return 0
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for nv, sub in enumerate(self.subs):
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dataset = self.datasets[sub]
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for frame in tqdm(self.visited_frames[sub], desc='writing'):
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dataset.isTmp = True
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_, annname = dataset[frame]
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dataset.isTmp = False
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_, annname_ = dataset[frame]
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if annname is not None:
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print(annname, annname_)
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shutil.copyfile(annname, annname_)
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@property
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def frame(self):
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return list(self.param['frames'].values())[0]
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def update_param(self):
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# 先保存
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for nv, sub in enumerate(self.subs):
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self.visited_frames[sub].add(self.param['frames'][sub])
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save_annot(self.params_view[sub]['annname'], self.param['annots'][nv])
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imgs, annots = self.load_images_annots(self.datasets, self.param['frames'])
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self.param['imgs'] = imgs
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self.param['annots'] = annots
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def move(self, delta):
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for sub in self.subs:
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self.param['frames'][sub] += delta
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self.update_param()
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@staticmethod
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def get_move(wasd):
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get_frame = {
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'a': lambda x, f: f - 1,
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'd': lambda x, f: f + 1,
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'w': lambda x, f: f - x.step,
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's': lambda x, f: f + x.step
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}[wasd]
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text = {
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'a': 'Move to last frame',
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'd': 'Move to next frame',
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'w': 'Move to last step frame',
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's': 'Move to next step frame'
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}
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clip_frame = lambda x, f: max(x.start, min(x.nFrames-1, min(x.end-1, f)))
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def move(annotator, **kwargs):
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newframe = get_frame(annotator, annotator.frame)
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newframe = clip_frame(annotator, newframe)
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annotator.move(newframe - annotator.frame)
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move.__doc__ = text[wasd]
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return move
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def load_images_annots(self, datasets, frames):
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imgs, annots = [], []
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for sub, dataset in datasets.items():
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imgname, annname = dataset[frames[sub]]
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img = cv2.imread(imgname)
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annot = load_annot_to_tmp(annname)
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imgs.append(img)
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annots.append(annot)
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self.params_view[sub]['imgname'] = imgname
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self.params_view[sub]['annname'] = annname
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return imgs, annots
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def run(self, key=None, noshow=False):
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# 更新选中
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if key is None:
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key = chr(get_key())
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actv = self.param['select']['camera']
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for sub in self.subs:
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for sel in self.params_view[sub]['select']:
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self.params_view[sub]['select'][sel] = -1
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if actv != -1:
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self.params_view[self.subs[actv]]['select'].update(self.param['select'])
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if key in self.register_keys.keys():
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func = self.register_keys[key]
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if isinstance(func, list):
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[f(self, param=self.param) for f in func]
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else:
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func(self, param=self.param)
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if not self.isOpen:
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return 0
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if noshow:
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return 0
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imgs = self.param['imgs']
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imgs = [img.copy() for img in imgs]
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for nv, img in enumerate(imgs):
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for func in self.vis_funcs_view:
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img = func(img, self.param['annots'][nv], name=self.subs[nv], **self.params_view[self.subs[nv]])
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if nv == actv:
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cv2.rectangle(img, (0, 0), (img.shape[1], img.shape[0]), (0, 0, 255), img.shape[1]//100)
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imgs[nv] = img
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img = merge(imgs)
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for func in self.vis_funcs:
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img = func(img, **self.param)
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cv2.imshow(self.name, img)
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class AnnotMVMain:
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def __init__(self, datasets, key_funcs={}, key_funcs_view={}, callbacks=[], vis_funcs=[], vis_funcs_all=[],
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name='main', step=100, body='body25', start=0, end=100000,
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scale=0.5) -> None:
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self.subs = list(datasets.keys())
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self.annotdict = {}
|
|
self.nFrames = end
|
|
for sub, dataset in datasets.items():
|
|
annot = AnnotBase(dataset, key_funcs={}, callbacks=callbacks, vis_funcs=vis_funcs,
|
|
name=sub, step=step, body=body, start=start, end=end, no_window=True)
|
|
self.annotdict[sub] = annot
|
|
self.nFrames = min(self.nFrames, annot.nFrames)
|
|
self.isOpen = True
|
|
self.register_keys_view = {}
|
|
self.register_keys = {
|
|
'Q': register_keys['q'],
|
|
'h': register_keys['H'],
|
|
'A': register_keys['A']
|
|
}
|
|
self.register_keys.update(key_funcs)
|
|
for key, val in self.register_keys.items():
|
|
print(key, val.__doc__)
|
|
self.vis_funcs_all = vis_funcs_all
|
|
self.name = name
|
|
imgs = self.load_images()
|
|
imgs, ranges = merge(imgs, ret_range=True, square=True)
|
|
self.scale = scale
|
|
self.param = {
|
|
'scale': scale, 'ranges': ranges,
|
|
'click': None, 'start': None, 'end': None,
|
|
'select': {'camera': -1}}
|
|
callbacks = [callback_select_image]
|
|
cv2.namedWindow(self.name)
|
|
callback = ComposedCallback(processes=callbacks)
|
|
cv2.setMouseCallback(self.name, callback.call, self.param)
|
|
|
|
@property
|
|
def frame(self):
|
|
sub = list(self.annotdict.keys())[0]
|
|
return self.annotdict[sub].frame
|
|
|
|
@property
|
|
def working(self):
|
|
return False
|
|
|
|
def save_and_quit(self, key=None):
|
|
if key is None:
|
|
key = get_valid_yn()
|
|
for sub, annot in self.annotdict.items():
|
|
annot.save_and_quit(key)
|
|
self.isOpen = False
|
|
|
|
def load_images(self):
|
|
imgs = []
|
|
for sub in self.subs:
|
|
img = self.annotdict[sub].param['img0'].copy()
|
|
imgs.append(img)
|
|
return imgs
|
|
|
|
def run(self, key=None, noshow=False):
|
|
if key is None:
|
|
key = chr(get_key())
|
|
active_v = self.param['select']['camera']
|
|
if active_v == -1:
|
|
# run the key for all cameras
|
|
if key in self.register_keys.keys():
|
|
self.register_keys[key](self, param=self.param)
|
|
elif ord(key) != 255:
|
|
for sub in self.subs:
|
|
self.annotdict[sub].run(key)
|
|
elif key == 'x':
|
|
self.param['select']['camera'] = -1
|
|
self.param['click'] = None
|
|
else:
|
|
# run the key for the selected cameras
|
|
self.annotdict[self.subs[active_v]].run(key=key)
|
|
if len(self.vis_funcs_all) > 0:
|
|
imgs = []
|
|
for nv, sub in enumerate(self.subs):
|
|
img = self.annotdict[sub].param['img0'].copy()
|
|
for func in self.vis_funcs_all:
|
|
# img = func(img, sub, param=self.annotdict[sub].param)
|
|
img = func(img, **self.annotdict[sub].param)
|
|
if self.param['select']['camera'] == nv:
|
|
cv2.rectangle(img, (0, 0), (img.shape[1], img.shape[0]), (0, 0, 255), img.shape[1]//100)
|
|
# img = plot_text(img, self.annotdict[sub].param['annots'], self.annotdict[sub].param['imgname'])
|
|
imgs.append(img)
|
|
imgs = merge(imgs, square=True)
|
|
for func in [resize_to_screen]:
|
|
# scale here
|
|
imgs = func(imgs, scale=self.scale)
|
|
cv2.imshow(self.name, imgs)
|
|
|
|
def load_parser():
|
|
import argparse
|
|
parser = argparse.ArgumentParser()
|
|
parser.add_argument('path', type=str)
|
|
parser.add_argument('--out', type=str, default=None)
|
|
parser.add_argument('--sub', type=str, nargs='+', default=[],
|
|
help='the sub folder lists when in video mode')
|
|
parser.add_argument('--from_file', type=str, default=None)
|
|
parser.add_argument('--image', type=str, default='images')
|
|
parser.add_argument('--annot', type=str, default='annots')
|
|
parser.add_argument('--body', type=str, default='body25')
|
|
parser.add_argument('--step', type=int, default=100)
|
|
parser.add_argument('--vis', action='store_true')
|
|
parser.add_argument('--debug', action='store_true')
|
|
parser.add_argument('--ext', type=str, default='.jpg', choices=['.jpg', '.png'])
|
|
|
|
# new arguments
|
|
parser.add_argument('--start', type=int, default=0, help='frame start')
|
|
parser.add_argument('--end', type=int, default=100000, help='frame end')
|
|
return parser
|
|
|
|
def parse_parser(parser):
|
|
import os
|
|
from os.path import join
|
|
args = parser.parse_args()
|
|
if args.from_file is not None and args.from_file.endswith('.txt'):
|
|
assert os.path.exists(args.from_file), args.from_file
|
|
with open(args.from_file) as f:
|
|
datas = f.readlines()
|
|
subs = [d for d in datas if not d.startswith('#')]
|
|
subs = [d.rstrip().replace('https://www.youtube.com/watch?v=', '') for d in subs]
|
|
newsubs = sorted(os.listdir(join(args.path, args.image)))
|
|
clips = []
|
|
for newsub in newsubs:
|
|
if newsub in subs:
|
|
continue
|
|
if newsub.split('+')[0] in subs:
|
|
clips.append(newsub)
|
|
for sub in subs:
|
|
if os.path.exists(join(args.path, args.image, sub)):
|
|
clips.append(sub)
|
|
args.sub = sorted(clips)
|
|
elif args.from_file is not None and args.from_file.endswith('.json'):
|
|
data = read_json(args.from_file)
|
|
args.sub = sorted([v['vid'] for v in data])
|
|
elif len(args.sub) == 0:
|
|
subs = sorted(os.listdir(join(args.path, args.image)))
|
|
subs = [s for s in subs if os.path.isdir(join(args.path, args.image, s))]
|
|
if len(subs) > 0 and subs[0].isdigit():
|
|
subs = sorted(subs, key=lambda x:int(x))
|
|
args.sub = subs
|
|
helps = """
|
|
Demo code for annotation:
|
|
- Input : {}
|
|
- => "{}"
|
|
- => {}
|
|
""".format(args.path, '", "'.join(args.sub), args.annot)
|
|
print(helps)
|
|
return args |