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gui.py
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import os
import yaml
import importlib
import math
from pathlib import Path
from time import time, sleep
from typing import Union
import gc
from rich.console import Console
import cv2
import dearpygui.dearpygui as dpg
import numpy as np
import torch
from torch import Tensor
import tree_segmentation
import tree_segmentation.tree_2d_segmentation as ts2
import tree_segmentation.tree_3d_segmentation as ts3
from tree_segmentation.extension import utils
from tree_segmentation.extension import ops_3d
from tree_segmentation.extension.utils import ImageViewer, Viewer3D
from tree_segmentation import Tree2D, Tree3D, MaskData
from tree_segmentation.tree_segment import TreeSegment
from tree_segmentation.util import color_mask, image_add_mask_boundary, image_add_points
console = Console()
def fit_window(mask: Tensor, region=0.95):
"""根据mask缩放图像, 使得所有点都恰好在框内"""
"""TODO: solve in 3D"""
H, W = mask.shape
assert region > 0
points = torch.nonzero(mask).float() + 0.5
center = points.new_tensor([0.5 * H, 0.5 * W])
d = points - center
left, right = 0.5 * W * (1. - region), 0.5 * W * (1. + region)
t_left, t_right = (left - center[1]) / (d[:, 1] + 1e-10), (right - center[1]) / (d[:, 1] + 1e-10)
top, bottom = 0.5 * H * (1. - region), 0.5 * H * (1. + region)
t_top, t_bottom = (top - center[0]) / (d[:, 0] + 1e-10), (bottom - center[0]) / (d[:, 0] + 1e-10)
t = torch.minimum(torch.maximum(t_left, t_right), torch.maximum(t_top, t_bottom))
scale = 1. / t.min().item()
return scale
class TreeSegmentGUI(TreeSegment):
def __init__(self, model=None) -> None:
super().__init__(None, model=model)
self._mode = 'E2D'
self._edit = False
self._mesh_history = [] # The path of last 10 loaded meshes
self.image_dir = Path(__file__).parent.joinpath('images').expanduser()
self.mesh_dir = Path(__file__).parent.joinpath('meshes').expanduser()
self.image_index = 0
self.image_paths = []
self._need_update_2d = False
dpg.create_context()
# self.set_default_font()
dpg.create_viewport(title='Tree Segmentation', width=1024, height=1024, x_pos=800, y_pos=256, resizable=False)
self.load_ini()
self._now_level_2d = -1
self._now_level_3d = 0
self.last_time = time()
self._loading_mesh = False
self._choose_mask = 0
self._edit_mask_idx = 0
with dpg.theme() as self.choose_theme:
with dpg.theme_component(dpg.mvAll):
dpg.add_theme_color(dpg.mvThemeCol_Header, (150, 100, 100), category=dpg.mvThemeCat_Core)
dpg.add_theme_color(dpg.mvThemeCol_Button, (150, 100, 100), category=dpg.mvThemeCat_Core)
dpg.add_theme_style(dpg.mvStyleVar_FrameRounding, 5, category=dpg.mvThemeCat_Core)
# dpg.add_theme_color(dpg.mvThemeCol_MenuBarBg, (150, 100, 100), category=dpg.mvThemeCat_Core)
with dpg.theme() as self.default_theme:
with dpg.theme_component(dpg.mvAll):
dpg.add_theme_color(dpg.mvThemeCol_Button, (50, 50, 50), category=dpg.mvThemeCat_Core)
dpg.add_theme_color(dpg.mvThemeCol_Header, (50, 50, 50), category=dpg.mvThemeCat_Core)
dpg.add_theme_style(dpg.mvStyleVar_FrameRounding, 5, category=dpg.mvThemeCat_Core)
# dpg.add_theme_color(dpg.mvThemeCol_MenuBarBg, (50, 50, 50), category=dpg.mvThemeCat_Core)
with dpg.window(tag='Primary Window', autosize=True):
self.view_3d = Viewer3D(self.rendering, size=[512, 512], pos=(0, 0), no_resize=True, no_move=True)
self.view_2d = ImageViewer(size=(512, 512), tag='image_sample', pos=(512, 0), no_resize=True, no_move=True)
self.view_seg = ImageViewer(size=(512, 512), tag='image_seg', pos=(512, 512), no_resize=True, no_move=True)
with dpg.window(
label='control',
tag='control',
width=512,
height=512 - 30,
pos=(0, 512),
no_close=True,
no_resize=True,
no_move=True,
# no_title_bar=True,
):
# self.add_menu_bar()
self.make_control_panel()
# dpg.add_button(label='Exit', callback=exit)
# with dpg.window(
# no_title_bar=True,
# width=512,
# pos=(0, 1024 - 30),
# autosize=True,
# no_resize=True,
# no_move=True,
# tag='win_status'
# ):
# self.make_bottom_status_options()
self.make_show_tree_2d_mask_level()
self.make_show_tree_3d_mask_level()
self.add_help_popup()
dpg.set_primary_window('Primary Window', True)
dpg.set_exit_callback(self.callback_exit)
with dpg.handler_registry():
dpg.add_mouse_drag_handler(callback=self.view_3d.callback_mouse_drag)
dpg.add_mouse_wheel_handler(callback=self.callback_mouse_wheel)
dpg.add_mouse_release_handler(callback=self.view_3d.callback_mouse_release)
dpg.add_mouse_move_handler(callback=self.callback_mouse_hover)
dpg.add_mouse_click_handler(callback=self.callback_mouse_click)
dpg.add_key_press_handler(callback=self.callback_keypress)
self.view_3d.enable_dynamic_change()
self.view_2d.enable_dynamic_change()
self.view_seg.enable_dynamic_change()
# dpg.set_primary_window('Primary Window', True)
self.mode = self._mode
@property
def mode(self):
return self._mode
@mode.setter
def mode(self, mode):
# if self._mode == mode:
# return
print(f'[GUI] switch mode from {self._mode} to {mode}')
self._tree_3d = None
self.reset_2d()
self.reset_3d()
dpg.bind_item_theme(self._mode, self.default_theme)
self._mode = mode
dpg.bind_item_theme(self._mode, self.choose_theme)
show_hidden_options = {
self.view_2d.win_tag: [1, 0, 1],
self.view_3d.win_tag: [0, 1, 1],
self.view_seg.win_tag: [0, 0, 1],
'ctl_predictor': [1, 1, 1],
'ctl_edit_2d': [1, 0, 0],
'ctl_edit_3d': [0, 1, 0],
'ctl_view_3d': [0, 1, 1],
'ctl_tree_3d': [0, 0, 1],
'ctl_tree_2d': [0, 0, 1],
'tree_0': [1, 1, 0],
'copy_to_3d': [0, 0, 1],
'copy_to_2d': [0, 0, 1],
'get_uv': [0, 0, 1],
}
if mode == 'E2D':
for item, values in show_hidden_options.items():
if values[0]:
dpg.show_item(item)
else:
dpg.hide_item(item)
dpg.set_item_pos(self.view_2d.win_tag, [0, 0])
# dpg.set_item_pos('control', [512, 0])
self.change_image(self.image_index)
dpg.configure_item('control', no_move=False)
for i, level in enumerate(range(-1, 10)):
dpg.move_item(f"level{level}", parent='Primary Window')
self.change_image()
elif mode == 'E3D':
for item, values in show_hidden_options.items():
if values[1]:
dpg.show_item(item)
else:
dpg.hide_item(item)
dpg.set_item_pos(self.view_3d.win_tag, [0, 0])
dpg.configure_item('control', pos=[0, 512], no_move=True, height=512 - 30)
# dpg.set_item_pos('win_status', [0, 1024 - 30])
dpg.set_viewport_width(1024)
dpg.set_viewport_height(1024)
elif mode == 'S3D':
for item, values in show_hidden_options.items():
if values[2]:
dpg.show_item(item)
else:
dpg.hide_item(item)
dpg.set_item_pos(self.view_3d.win_tag, [0, 0])
dpg.set_item_pos(self.view_seg.win_tag, [512, 512])
dpg.configure_item(self.view_2d.win_tag, pos=[512, 0], width=512, height=512)
self.view_2d.resize(512, 512, 3)
self.view_2d.data[:] = 1
self.view_2d._origin_data = None
dpg.configure_item('control', pos=[0, 512], no_move=True, height=512 - 30)
# dpg.set_item_pos('win_status', [0, 1024 - 30])
dpg.set_viewport_width(1024)
dpg.set_viewport_height(1024)
for i, level in enumerate(range(-1, 10)):
dpg.move_item(f"level{level}", parent=self.view_seg.win_tag)
dpg.set_item_pos(f"level{level}", pos=[10 + (30 + 10) * i, 10])
else:
raise NotImplementedError()
self.save_ini()
@property
def tree3d(self) -> Tree3D:
if self._tree_3d is None and self._mesh is not None:
self._tree_3d = tree_segmentation.Tree3D(self.mesh, device=self.device)
return self._tree_3d
@property
def tree2d(self) -> Tree2D:
if self._tree_2d is None:
self._tree_2d = tree_segmentation.Tree2D(
in_threshold=dpg.get_value('in_threshold'),
in_thres_area=dpg.get_value('in_area_threshold'),
union_threshold=dpg.get_value('union_threshold'),
min_area=dpg.get_value('min_area'),
device=self.device,
verbose=1,
) # type: Tree2D
if self._tree_2d._masks is None and self.tri_id is not None:
background = self.tri_id == 0
foreground = torch.logical_not(background)
mask_data = MaskData(
masks=torch.stack([foreground, background], dim=0),
iou_preds=torch.ones(2, device=self.tri_id.device) * 2,
# points=torch.zeros((2, 2), dtype=torch.float64),
# stability_score=torch.ones(2, device=self.tri_id.device) * 2,
# boxes=torch.zeros((2, 4), device=self.tri_id.device),
)
self._tree_2d.cat(mask_data)
self._tree_2d.update_tree()
self._tree_2d.num_samples[2] = background.numel()
return self._tree_2d
@property
def image(self) -> np.ndarray:
if self._image is None:
self.new_camera_pose()
return self._image
@image.setter
def image(self, img: np.ndarray):
self._image = img
self.view_2d.update(self._image, resize=True)
@property
def points(self):
return self._points
@points.setter
def points(self, points):
self._points = points
if points is None:
self.view_2d.update(self.image, resize=True)
else:
self.view_2d.update(image_add_points(self.image, points, 5), resize=True)
@property
def mask_data(self):
return self._mask_data
@mask_data.setter
def mask_data(self, data: MaskData = None):
# if data is None:
# dpg.hide_item('level0')
# else:
# dpg.show_item('level0')
if data is not None:
data.filter(torch.argsort(data['masks'].flatten(1).sum(dim=1), descending=True))
self._mask_data = data
@property
def levels_2d(self):
return self._2d_levels
@levels_2d.setter
def levels_2d(self, levels):
max_levels = len(levels)
for i in range(1, 10):
dpg.configure_item(f"level{i}", show=i < max_levels)
# dpg.focus_item(f"level{i}")
self._2d_levels = levels
self.show_tree_update()
@property
def now_level_2d(self):
return self._now_level_2d
@now_level_2d.setter
def now_level_2d(self, level):
if level == 0:
self._points = None
self._labels = None
self._mask_data = None
if self._now_level_2d >= -1:
dpg.bind_item_theme(f"level{self._now_level_2d}", self.default_theme)
self.choose_mask = 0
self._now_level_2d = level
if self._now_level_2d >= -1:
dpg.bind_item_theme(f"level{self._now_level_2d}", self.choose_theme)
self._need_update_2d = True
@property
def levels_3d(self):
return self._3d_levels
@levels_3d.setter
def levels_3d(self, levels: list):
max_levels = len(levels)
for i in range(1, 10):
dpg.configure_item(f"depth{i}", show=i < max_levels)
self._3d_levels = levels
if self.mode == 'E3D':
if dpg.does_alias_exist(f"tree_{self.choose_mask}"):
dpg.bind_item_theme(f"tree_{self.choose_mask}", self.choose_theme)
@property
def now_level_3d(self):
return self._now_level_3d
@now_level_3d.setter
def now_level_3d(self, level=0):
print(f'[GUI] 3D show level: {level}')
dpg.bind_item_theme(f"depth{self._now_level_3d}", self.default_theme)
self._now_level_3d = level
dpg.bind_item_theme(f"depth{self._now_level_3d}", self.choose_theme)
self.view_3d.need_update = True
@property
def choose_mask(self):
return self._choose_mask
@choose_mask.setter
def choose_mask(self, index=0):
# print('index:', index)
if index == self._choose_mask:
index = 0
ch_tree = self._choose_mask > 0
if self.mode == 'E2D':
ch_tree = ch_tree and self.now_level_2d > 0
# else:
# ch_tree = ch_tree and self.now_level_3d > 0
if ch_tree and dpg.does_item_exist(f"tree_{self._choose_mask}"):
dpg.bind_item_theme(f"tree_{self._choose_mask}", self.default_theme)
self._choose_mask = index
if ch_tree and dpg.does_item_exist(f"tree_{self._choose_mask}"):
dpg.bind_item_theme(f"tree_{self._choose_mask}", self.choose_theme)
def load_mesh(self, obj_path, use_cache=True, cache_suffix='.mesh_cache'):
self._loading_mesh = True
if self.get_value('mesh_load_all', False) and os.path.isfile(obj_path):
obj_path = Path(obj_path).parent
if dpg.get_value('mesh_load_force'):
use_cache = 'force'
dpg.set_value('mesh_load_force', False)
if super().load_mesh(obj_path, use_cache, cache_suffix):
obj_path = str(obj_path)
if obj_path not in self._mesh_history:
self._mesh_history.append(obj_path)
if len(self._mesh_history) > 10:
self._mesh_history.pop(0)
else:
self._mesh_history.remove(obj_path)
self._mesh_history.append(obj_path)
for i, path in enumerate(reversed(self._mesh_history)):
dpg.set_value(f"history_{i}", path)
# dpg.configure_item('mesh_history_list', items=self._mesh_history)
dpg.set_item_label('load_data', f"Load ({len(list(self.cache_dir.glob('*.data')))})")
self.view_3d.need_update = True
self._loading_mesh = False
self.save_ini()
def show_tree_update(self):
# remove old tree nodes
def _remove_children(name):
for child in dpg.get_item_children(name, 1):
_remove_children(child)
dpg.delete_item(child)
_remove_children(f"tree_0")
if self.mode == 'S3D':
return
elif self.mode == 'E2D':
if self._tree_2d is None:
return
tree = self.tree2d
else:
if self._tree_3d is None:
return
tree = self.tree3d
# insert new tree nodes
for level, nodes in enumerate(tree.get_levels()):
if level == 0:
continue
# print(nodes)
for x in nodes:
x = x.item()
p = tree.parent[x].item()
dpg.add_collapsing_header(
label=f'{x}',
tag=f"tree_{x}",
parent=f"tree_{p}",
indent=level * 10,
leaf=tree.first[x].item() <= 0,
open_on_arrow=True,
)
dpg.bind_item_theme(f"tree_{x}", self.default_theme)
dpg.configure_item('tree_0', default_open=True)
print('[GUI]: update show tree')
def get_value(self, name, default=None):
if dpg.does_alias_exist(name):
return dpg.get_value(name)
elif name == 'fovy':
return self.view_3d.fovy
elif name == 'sam_path':
return Path('./weights/sam_vit_h_4b8939.pth').expanduser()
elif name == 'sam_l_path':
return Path('./weights/sam_vit_l_0b3195.pth').expanduser()
elif name == 'sam_b_path':
return Path('./weights/sam_vit_b_01ec64.pth').expanduser()
elif name == 'semantic_sam_l_path':
return Path("./weights/swinl_only_sam_many2many.pth").expanduser()
elif name == 'semantic_sam_t_path':
return Path("./weights/swint_only_sam_many2many.pth").expanduser()
else:
print(f'[GUI] option {name} not in dpg')
return default
def _set_value(self, name, value):
def setter(*args):
return setattr(self, name, value)
return setter
def _cbw(self, func, *args, **kwargs):
# callback
def wrapper():
return func(*args, **kwargs)
return wrapper
def _cbw2(self, cls, func, *args, update_3d=False, **kwargs):
def wrapper():
if isinstance(func, str):
res = getattr(cls, func)(*args, **kwargs)
else:
f = cls
for name in func:
f = getattr(f, name)
res = f(*args, **kwargs)
if update_3d:
self.view_3d.need_update = True
return res
return wrapper
@torch.no_grad()
def rendering(self, Tw2v, fovy, size):
if self._loading_mesh or self._mesh is None:
return np.zeros((size[1], size[0], 3), dtype=np.float32)
image, tri_id = self.render_mesh(Tw2v=Tw2v, image_size=size[0])
image = image.cpu().numpy()
if (time() - self.last_time) > 0.3:
self._3d_aux_data = self.tree3d.get_aux_data(tri_id)
self.levels_3d = self.tree3d.get_levels(self._3d_aux_data)
# print('[3D] rendering', [x.tolist() for x in self.levels_3d])
self.last_time = time()
else:
self.view_3d.need_update = True
return image
if 0 < self.now_level_3d < len(self.levels_3d):
mask_index = self.levels_3d[self.now_level_3d]
masks = torch.stack([self._3d_aux_data[x.item()][0] for x in mask_index], dim=0)
self._3d_mask = masks * torch.arange(1, 1 + masks.shape[0], device=masks.device)[:, None, None]
self._3d_mask = torch.amax(self._3d_mask, dim=0).int().cpu().numpy()
self.view_3d._origin_data = None
alpha = dpg.get_value('alpha')
image = cv2.addWeighted(image, alpha, color_mask(self._3d_mask, masks.shape[0]), 1 - alpha, 0)
if self.mode == 'E3D' and self.choose_mask > 0:
if self.tree3d.masks is not None and 1 <= self.choose_mask <= len(self.tree3d.masks):
mask = self.tree3d.masks[self.choose_mask - 1][tri_id]
alpha = dpg.get_value('alpha')
image = cv2.addWeighted(image, alpha, color_mask(mask.int().cpu().numpy(), 2), 1 - alpha, 0)
image = image_add_mask_boundary(image, mask, color=(0, 1, 0))
return image
def show_2d(self):
if self._image is None:
return
image = np.zeros_like(self.image)
is_show_mask = False
# show all masks
masks = None
if self.now_level_2d == 0:
if self.mask_data is not None:
masks = self.mask_data['masks']
elif 0 < self.now_level_2d < len(self.levels_2d):
mask_index = self.levels_2d[self.now_level_2d] - 1
if mask_index.numel() > 0:
assert 0 <= mask_index.min() and mask_index.max() < self.tree2d.num_masks
masks = self.tree2d.masks[mask_index]
if masks is not None and len(masks) > 0:
self._2d_mask = masks * torch.arange(1, 1 + masks.shape[0], device=masks.device)[:, None, None]
self._2d_mask = torch.amax(self._2d_mask, dim=0).int().cpu().numpy()
image = color_mask(self._2d_mask, masks.shape[0])
is_show_mask = True
else:
self._2d_mask = None
# show_choose
choose_mask = None
if self.choose_mask > 0:
if self.now_level_2d == 0:
assert 0 <= self.choose_mask - 1 < len(self.mask_data['masks'])
choose_mask = self.mask_data['masks'][self.choose_mask - 1]
elif self.now_level_2d > 0 and self.choose_mask <= self.tree2d.num_masks:
choose_mask = self.tree2d.masks[self.choose_mask - 1]
if self.mode == 'S3D':
if choose_mask is not None:
image = image_add_mask_boundary(image, choose_mask, color=(0, 0., 0.))
self.view_seg.update(image, resize=True)
if is_show_mask:
alpha = dpg.get_value('alpha')
image = cv2.addWeighted(self.image, alpha, image[..., :3], 1 - alpha, 0)
else:
image = self.image
if choose_mask is not None:
image = image_add_mask_boundary(image, choose_mask, color=(0, 0., 0.))
# show_edit mask
if self._edit and self.mask_data is not None:
mask = self.mask_data['masks'][int(self._edit_mask_idx) % len(self.mask_data['masks'])]
image = image_add_mask_boundary(image, mask, color=(0, 0, 1.))
# show_points
if (self.now_level_2d == 0 or self._edit) and self._points is not None and self.get_value('show_points', True):
pos_points = self._points if self._labels is None else self._points[self._labels]
if len(pos_points) > 0:
image = image_add_points(image, pos_points, s=3, color=(1., 0, 0))
if self._labels is not None:
neg_points = self._points[np.logical_not(self._labels)]
if len(neg_points) > 0:
image = image_add_points(image, neg_points, s=3, color=(0, 1., 0))
self.view_2d.update(image, resize=True)
def run(self):
dpg.setup_dearpygui()
dpg.show_viewport()
# dpg.set_primary_window('Primary Window', True)
# dpg.start_dearpygui()
last_size = None
while dpg.is_dearpygui_running():
dpg.render_dearpygui_frame()
if self.mode != 'E2D':
if self.view_3d.need_update:
dpg.set_value('eye_x', self.view_3d.eye[0].item())
dpg.set_value('eye_y', self.view_3d.eye[1].item())
dpg.set_value('eye_z', self.view_3d.eye[2].item())
self.view_3d.update(False)
if self._need_update_2d:
self.show_2d()
self._need_update_2d = False
# now_size = dpg.get_item_width(view_3d._win_id), dpg.get_item_height(view_3d._win_id)
# if last_size != now_size:
# dpg.configure_item('control', pos=(dpg.get_item_width(view_3d._win_id), 0))
# dpg.set_viewport_width(dpg.get_item_width(view_3d._win_id) + dpg.get_item_width('control'))
# dpg.set_viewport_height(dpg.get_item_height(view_3d._win_id))
# last_size = now_size
dpg.set_value('fps', f"FPS: {dpg.get_frame_rate()}")
def reset_2d(self):
self.choose_mask = 0
self.now_level_2d = -1
super().reset_2d()
if self._image is None:
self.view_2d.data[:] = 255
else:
self.view_2d.update(self._image, True)
self.view_seg.data[:] = 255
def reset_3d(self):
self.now_level_3d = 0
super().reset_3d()
self.show_tree_update()
self.view_3d.need_update = True
def reload(self):
global tree_segmentation, ts2, ts3
self.reset_2d()
self.reset_3d()
self._predictor = None
self._tree_2d = None
self._tree_3d = None
tree_segmentation = importlib.reload(tree_segmentation)
ts2 = importlib.reload(ts2)
ts3 = importlib.reload(ts3)
gc.collect()
print('Reload successful!')
def run_tree_seg_2d_stage1(self):
self.mask_data = None
self.now_level_2d = 0
image = self.image
points = self.tree2d.sample_grid(dpg.get_value('points_per_side'))
# filter points in background
# print(points.shape, points.min(), points.max(), points, self.tri_id.shape)
if self.mode != 'E2D':
x = np.clip(np.rint(points[:, 0] * self.tri_id.shape[1]), 0, self.tri_id.shape[1] - 1).astype(np.int32)
y = np.clip(np.rint(points[:, 1] * self.tri_id.shape[0]), 0, self.tri_id.shape[0] - 1).astype(np.int32)
points = points[self.tri_id.cpu().numpy()[y, x] > 0].reshape(-1, 2)
self._points = points
self._labels = np.ones_like(points[..., 0], dtype=bool)
self.view_2d.update(image_add_points(image, points, 3), resize=True)
if not self.predictor.is_image_set:
self.predictor.set_image(np.clip(self.image * 255, 0, 255).astype(np.uint8))
self.mask_data = self.predictor.process_points(points)
self.tree2d.insert_batch(self.mask_data)
# self.tree2d.update_tree()
# self.tree2d.remove_not_in_tree()
self.levels_2d = self.tree2d.get_levels()
self.show_tree_update()
def run_tree_seg_2d_stage2(self):
self.mask_data = None
self.now_level_2d = 0
points = self.tree2d.sample_by_counts(dpg.get_value('points_per_update'))
self._points = points
self._labels = None if points is None else np.ones_like(points[..., 0], dtype=bool)
if points is None:
self.view_2d.update(self.image, resize=True)
# print('ERROR: no unfilled mask')
print(f'[GUI] Update complete')
return False
self.view_2d.update(image_add_points(self.image, points, 3), resize=True)
if not self.predictor.is_image_set:
self.predictor.set_image(np.clip(self.image * 255, 0, 255).astype(np.uint8))
self.mask_data = self.predictor.process_points(points)
self.tree2d.insert_batch(self.mask_data)
# self.tree2d.update_tree()
# self.tree2d.remove_not_in_tree()
self.levels_2d = self.tree2d.get_levels()
self.show_tree_update()
return True
def run_tree_seg_2d_post(self):
super().run_tree_seg_2d_post()
self._need_update_2d = True
# fast segment
# save_path = self.image_dir.joinpath('../my_mask').joinpath(self.image_paths[self.image_index])
# print(save_path)
# save_path.parent.mkdir(exist_ok=True)
# mask = self.tree2d.masks[0].cpu().numpy()
# utils.save_image(save_path, mask)
# self.change_image(next=True)
# self.predictor.set_image((self.image * 255).astype(np.uint8))
# self.switch_edit_mode()
# self._need_update_2d = True
def run_edit_2d(self):
self._need_update_2d = True
points = self._points * np.array(self.predictor.original_size)[::-1]
masks, scores, _ = self.predictor.predict(points, self._labels, return_numpy=False)
order = torch.argsort(scores, descending=True)
print('[GUI] run edit 2d', utils.show_shape(masks, scores), scores[order])
self.mask_data = MaskData(masks=masks[order], iou_preds=scores[order])
self._edit_mask_idx = 0
self._need_update_2d = True
def copy_camera_pose(self, to_2d=True):
if to_2d:
Tw2v = ops_3d.look_at(self.view_3d.eye, self.view_3d.at, self.view_3d.up).to(self.device)
self.new_camera_pose(Tw2v=Tw2v)
levels = self.tree3d.get_levels(self.aux_data_2d)
# logger.NOTE('levels:', levels)
# print('aux_data:', utils.show_shape(self.aux_data))
indices = torch.cat(levels, dim=0)
background = torch.logical_not(self.aux_data_2d[0][0])
masks = torch.stack([background] + [self.aux_data_2d[x.item()][0] for x in indices])
# print('masks:', utils.show_shape(masks))
self.tree2d.clear(
masks=masks.to(self.tree2d.device), scores=torch.zeros(masks.shape[0], device=self.tree2d.device))
# self.tree_data.update_tree()
# print(utils.show_shape(self.tree_data.data, self.tree_data.parent))
# print(indices)
self.tree2d.node_insert(1, 0)
indices_map = {}
for i, x in enumerate(indices, 2):
x = x.item()
if x == 0:
self.tree2d.node_insert(i, 0)
else:
self.tree2d.node_insert(i, indices_map[self.tree3d.parent[x].item()])
indices_map[x] = i
# logger.NOTE('tree_data levels:', self.tree_data.get_levels())
self.levels_2d = self.tree2d.get_levels()
dpg.get_item_callback('level1')()
elif self.Tw2v is not None:
self.view_3d.set_pose(Tv2w=self.Tw2v.inverse())
def run_tree_3d_load(self):
filenames = sorted(list(self.cache_dir.glob('*.data')))
num_load = dpg.get_value('num_load')
for i, filename in enumerate(filenames):
if 0 <= num_load <= i:
break
dpg.set_value('progress', f'run_tree_3d_load: {i}/{len(filenames)}')
data = torch.load(filename, map_location=self.device)
self.tri_id = data['tri_id']
self._image = data['image']
self.Tw2v = data['Tw2v']
self.reset_2d()
self.tree2d.load(filename=None, **data['tree_data'])
self.mask_data = None
self.levels_2d = self.tree2d.get_levels()
dpg.get_item_callback('level1')()
self.merge_to_3d(save=False)
dpg.set_value('progress', '')
def run_edit_3d(self):
self.tree3d.run(epochs=self.get_value('E3D_epochs', 10000), N_view=self.get_value('E3D_num_load', -1))
def set_edit_3d_threshold(self):
if self.mode == 'E3D':
self.tree3d.set_score_threshold(dpg.get_value('edit_threshold'))
self.view_3d.need_update = True
def show_uv_results(self):
pass
def callback_mouse_hover(self, sender, app_data):
if self._edit:
return
if dpg.is_item_hovered(self.view_3d.image_tag):
if self.now_level_3d == 0:
return
x, y = self.view_3d.get_mouse_pos()
radiu = 5
if self._3d_mask is not None:
H1, W1 = self._3d_mask.shape
W2, H2 = self.view_3d.size
x, y = int(x * W1 / W2), int(y * H1 / H2)
mask_ids = self._3d_mask[max(0, y - radiu):y + radiu, max(0, x - radiu):x + radiu]
mask_ids, counts = np.unique(mask_ids, return_counts=True)
mask_id = mask_ids[np.argmax(counts)] - 1
if mask_id < 0:
self.view_3d.data = self.view_3d.origin_data
else:
# may error when change level
if 1 <= self.now_level_3d < len(self.levels_3d):
nodes = self.levels_3d[self.now_level_3d]
if 0 <= mask_id < len(nodes):
mask = self.aux_data_3d[nodes[mask_id].item()][0]
self.view_3d.data = image_add_mask_boundary(self.view_3d.origin_data, mask)
else:
if self.view_3d._origin_data is not None:
self.view_3d.data = self.view_3d._origin_data
self.view_3d._origin_data = None
if dpg.is_item_hovered(self.view_2d.image_tag):
x, y = self.view_2d.get_mouse_pos()
radiu = 5
if self._2d_mask is not None:
H1, W1 = self._2d_mask.shape
W2, H2 = self.view_2d.size
x, y = int(x * W1 / W2), int(y * H1 / H2)
mask_ids = self._2d_mask[max(0, y - radiu):y + radiu, max(0, x - radiu):x + radiu]
mask_ids, counts = np.unique(mask_ids, return_counts=True)
mask_id = mask_ids[np.argmax(counts)] - 1
if mask_id < 0:
self.view_2d.data = self.view_2d.origin_data
return
if self.now_level_2d == 0:
mask = self.mask_data['masks'][mask_id]
else:
mask = self.tree2d.masks[self.levels_2d[self.now_level_2d][mask_id] - 1]
self.view_2d.data = image_add_mask_boundary(self.view_2d.origin_data, mask)
else:
if self.view_2d._origin_data is not None:
self.view_2d.data = self.view_2d._origin_data
self.view_2d._origin_data = None
if dpg.is_item_hovered(self.view_seg.image_tag):
x, y = self.view_seg.get_mouse_pos()
radiu = 5
if self._2d_mask is not None:
H1, W1 = self._2d_mask.shape
W2, H2 = self.view_seg.size
x, y = int(x * W1 / W2), int(y * H1 / H2)
mask_ids = self._2d_mask[max(0, y - radiu):y + radiu, max(0, x - radiu):x + radiu]
mask_ids, counts = np.unique(mask_ids, return_counts=True)
# print('view seg', (x, y), mask_ids, counts)
mask_id = mask_ids[np.argmax(counts)] - 1
if mask_id < 0:
self.view_seg.data = self.view_seg.origin_data
return
if self.now_level_2d == 0:
mask = self.mask_data['masks'][mask_id]
else:
mask = self.tree2d.masks[self.levels_2d[self.now_level_2d][mask_id] - 1]
# mask = mask.cpu().numpy().astype(self.view_seg.data.dtype)
# mask = cv2.resize(mask, self.view_seg.size, interpolation=cv2.INTER_AREA)
# print('mask:', mask.shape)
self.view_seg.data = image_add_mask_boundary(self.view_seg.origin_data, mask)
else:
if self.view_seg._origin_data is not None:
self.view_seg.data = self.view_seg._origin_data
self.view_seg._origin_data = None
# print('restore origin data')
def callback_mouse_wheel(self, sender, app_data):
self.view_3d.callback_mouse_wheel(sender, app_data)
if dpg.is_item_hovered(self.view_2d.win_tag):
x, y = self.view_2d.get_mouse_pos()
if self._edit and self.mask_data is not None:
self._edit_mask_idx += app_data * 0.5
# print('change edit mask index:', self._edit_mask_idx, self.mask_data['masks'].shape)
self._need_update_2d = True
def callback_mouse_click(self, sender, app_data):
if dpg.is_item_left_clicked(self.view_seg.image_tag):
if self._2d_mask is None:
return
x, y = self.view_seg.get_mouse_pos()
H1, W1 = self._2d_mask.shape
W2, H2 = self.view_seg.size
x, y = int(x * W1 / W2), int(y * H1 / H2)
mask_id = self._2d_mask[y, x].item() - 1
if self.now_level_2d > 0 and mask_id >= 0:
mask_id = self.levels_2d[self.now_level_2d][mask_id - 1].item()
if mask_id > 0:
print('click:', mask_id)
self.choose_mask = mask_id + 1
self._need_update_2d = self.mode != 'E3D'
if dpg.is_item_left_clicked(self.view_2d.image_tag):
x, y = self.view_2d.get_mouse_pos()
if self.mode == 'E2D' and self._edit:
W, H = self.view_2d.size
x, y = x / W, y / H
if self._points is None:
self._points = np.array([[x, y]], dtype=np.float32)
self._labels = np.array([True], dtype=bool)
else:
self._points = np.append(self._points, [[x, y]], axis=0)
self._labels = np.append(self._labels, [True], axis=0)
self.run_edit_2d()
elif self._2d_mask is not None:
H1, W1 = self._2d_mask.shape
W2, H2 = self.view_2d.size
x, y = int(x * W1 / W2), int(y * H1 / H2)
mask_id = self._2d_mask[y, x].item()
if self.now_level_2d > 0 and mask_id > 0:
mask_id = self.levels_2d[self.now_level_2d][mask_id - 1].item()
if mask_id > 0:
print('click:', mask_id)
self.choose_mask = mask_id
self._need_update_2d = self.mode != 'E3D'
if dpg.is_item_right_clicked(self.view_2d.image_tag):
x, y = self.view_2d.get_mouse_pos()
if self.mode == 'E2D' and self._edit:
W, H = self.view_2d.size
x, y = x / W, y / H
if self._points is None:
self._points = np.array([[x, y]], dtype=np.float32)
self._labels = np.array([False], dtype=bool)
else:
self._points = np.append(self._points, [[x, y]], axis=0)
self._labels = np.append(self._labels, [False], axis=0)
self.run_edit_2d()
# if dpg.is_item_left_clicked(self.view_3d.image_tag):
# if self._2d_mask is None:
# return
# x, y = self.view_seg.get_mouse_pos()
# H1, W1 = self._2d_mask.shape
# W2, H2 = self.view_seg.size
# x, y = int(x * W1 / W2), int(y * H1 / H2)
# mask_id = self._2d_mask[y, x].item() - 1
# if self.now_level_3d > 0 and mask_id >= 0:
# mask_id = self.levels_3d[self.now_level_3d][mask_id - 1].item()
# if mask_id > 0:
# print('click:', mask_id)
# self.choose_mask = mask_id + 1
if self.mode == 'S3D':
return
# if not dpg.is_item_left_clicked('control'):
# return
for nodes in (self.levels_2d if self.mode == 'E2D' else self.levels_3d):
for x in nodes:
x = x.item()
if x != 0 and dpg.is_item_left_clicked(f"tree_{x}"):
print('click item', x)
self.choose_mask = x
if self.mode == 'E3D':
self.view_3d.need_update = True
elif self.mode == 'E2D':
self._need_update_2d = True
def _keypress_edit_2d(self):
if dpg.is_key_pressed(dpg.mvKey_1) or dpg.is_key_pressed(dpg.mvKey_NumPad1):
self.now_level_2d = 1
elif dpg.is_key_pressed(dpg.mvKey_2) or dpg.is_key_pressed(dpg.mvKey_NumPad2):
self.now_level_2d = 2
elif dpg.is_key_pressed(dpg.mvKey_3) or dpg.is_key_pressed(dpg.mvKey_NumPad3):
self.now_level_2d = 3
elif dpg.is_key_pressed(dpg.mvKey_4) or dpg.is_key_pressed(dpg.mvKey_NumPad4):
self.now_level_2d = 4
elif dpg.is_key_pressed(dpg.mvKey_5) or dpg.is_key_pressed(dpg.mvKey_NumPad5):
self.now_level_2d = 5
elif dpg.is_key_pressed(dpg.mvKey_6) or dpg.is_key_pressed(dpg.mvKey_NumPad6):
self.now_level_2d = 6
elif dpg.is_key_pressed(dpg.mvKey_7) or dpg.is_key_pressed(dpg.mvKey_NumPad7):
self.now_level_2d = 7
elif dpg.is_key_pressed(dpg.mvKey_8) or dpg.is_key_pressed(dpg.mvKey_NumPad8):
self.now_level_2d = 8
elif dpg.is_key_pressed(dpg.mvKey_9) or dpg.is_key_pressed(dpg.mvKey_NumPad9):
self.now_level_2d = 9
elif dpg.is_key_pressed(dpg.mvKey_0) or dpg.is_key_pressed(dpg.mvKey_NumPad0):
self.now_level_2d = 0
if dpg.is_key_pressed(dpg.mvKey_Back):
if self._points is not None:
self._points = self._points[:-1]
self._labels = self._labels[:-1]
self.run_edit_2d()
elif dpg.is_key_pressed(dpg.mvKey_D) or dpg.is_key_pressed(dpg.mvKey_Delete):
if self.choose_mask > 0 and self.now_level_2d > 0:
self.tree2d.node_delete(self.choose_mask, move_children=True)
self.levels_2d = self.tree2d.get_levels()
self.choose_mask = 0
self._need_update_2d = True
print(f'[GUI] Delete node {self.choose_mask} from tree')
elif dpg.is_key_pressed(dpg.mvKey_A) or dpg.is_key_pressed(dpg.mvKey_Insert):
if self._edit and self.mask_data is not None:
idx = int(self._edit_mask_idx) % len(self.mask_data['masks'])
index = self.tree2d.insert(mask=self.mask_data['masks'][idx], score=self.mask_data['iou_preds'][idx])
self.levels_2d = self.tree2d.get_levels()
self.now_level_2d = self.tree2d.get_depth(index)
self.choose_mask = 0 if index <= 0 else index
self.switch_edit_mode()
print(f'[GUI] Add new node {index} to tree')
elif dpg.is_key_pressed(dpg.mvKey_C):
if self._edit:
self._points = None
self._labels = None
self.mask_data = None
self._need_update_2d = True
print(f'[GUI] Clear all points')
elif dpg.is_key_pressed(dpg.mvKey_S):
if self.choose_mask > 0 and self._edit and self.mask_data is not None:
new_mask = self.mask_data['masks'][int(self._edit_mask_idx) % len(self.mask_data['masks'])]
old_mask = self.tree2d.masks[self.choose_mask - 1]
new_mask = old_mask & (~new_mask)
self.tree2d.masks[self.choose_mask - 1] = new_mask
# self.tree2d.areas[self.choose_mask - 1] = new_mask.sum()
self.tree2d.node_delete(self.choose_mask, move_children=True)
index = self.tree2d.insert(new_mask, i=self.choose_mask)
self.levels_2d = self.tree2d.get_levels()
self.choose_mask = max(0, index)
self.switch_edit_mode()
print(f'[GUI] Subtract mask from node {self.choose_mask} in tree')
elif dpg.is_key_pressed(dpg.mvKey_F):
if self.choose_mask > 0 and self._edit and self.mask_data is not None:
new_mask = self.mask_data['masks'][int(self._edit_mask_idx) % len(self.mask_data['masks'])]
old_mask = self.tree2d.masks[self.choose_mask - 1]
new_mask = new_mask | old_mask
self.tree2d.masks[self.choose_mask - 1] = new_mask
# self.tree2d.areas[self.choose_mask - 1] = new_mask.sum()
self.tree2d.node_delete(self.choose_mask, move_children=True)
index = self.tree2d.insert(new_mask, i=self.choose_mask)
self.levels_2d = self.tree2d.get_levels()
self.choose_mask = max(0, index)
self.switch_edit_mode()
print(f'[GUI] Fusion mask from node {self.choose_mask} in tree')
elif dpg.is_key_pressed(dpg.mvKey_R):
self.tree2d.remove_not_in_tree()
self.tree2d.reset()
self.tree2d.update_tree()
self.tree2d.remove_not_in_tree()
self.levels_2d = self.tree2d.get_levels()
print('[GUI] Rebuild Tree2D')
elif dpg.is_key_pressed(dpg.mvKey_Spacebar):
self.run_tree_seg_2d_post()
return
def callback_keypress(self, sender, app_data):
# print('sender:', sender, 'app_data:', app_data)
if self.mode == 'E3D':
cnt = self.tree3d.cnt
elif self.mode == 'E2D':
cnt = self.tree2d.cnt
else:
cnt = 0