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| import argparse | |
| import logging | |
| import os | |
| import sys | |
| import PIL.Image | |
| import numpy | |
| import torch | |
| import wx | |
| import json | |
| from typing import List | |
| # Set the working directory to the "live2d" subdirectory to work with file structure | |
| target_directory = os.path.join(os.getcwd(), "live2d") | |
| os.chdir(target_directory) | |
| sys.path.append(os.getcwd()) | |
| from tha3.poser.modes.load_poser import load_poser | |
| from tha3.poser.poser import Poser, PoseParameterCategory, PoseParameterGroup | |
| from tha3.util import extract_pytorch_image_from_filelike, rgba_to_numpy_image, grid_change_to_numpy_image, \ | |
| rgb_to_numpy_image, resize_PIL_image, extract_PIL_image_from_filelike, extract_pytorch_image_from_PIL_image | |
| current_directory = os.getcwd() | |
| parent_directory = os.path.dirname(current_directory) | |
| os.chdir(parent_directory) | |
| class MorphCategoryControlPanel(wx.Panel): | |
| def __init__(self, | |
| parent, | |
| title: str, | |
| pose_param_category: PoseParameterCategory, | |
| param_groups: List[PoseParameterGroup]): | |
| super().__init__(parent, style=wx.SIMPLE_BORDER) | |
| self.pose_param_category = pose_param_category | |
| self.sizer = wx.BoxSizer(wx.VERTICAL) | |
| self.SetSizer(self.sizer) | |
| self.SetAutoLayout(1) | |
| title_text = wx.StaticText(self, label=title, style=wx.ALIGN_CENTER) | |
| self.sizer.Add(title_text, 0, wx.EXPAND) | |
| self.param_groups = [group for group in param_groups if group.get_category() == pose_param_category] | |
| self.choice = wx.Choice(self, choices=[group.get_group_name() for group in self.param_groups]) | |
| if len(self.param_groups) > 0: | |
| self.choice.SetSelection(0) | |
| self.choice.Bind(wx.EVT_CHOICE, self.on_choice_updated) | |
| self.sizer.Add(self.choice, 0, wx.EXPAND) | |
| self.left_slider = wx.Slider(self, minValue=-1000, maxValue=1000, value=-1000, style=wx.HORIZONTAL) | |
| self.sizer.Add(self.left_slider, 0, wx.EXPAND) | |
| self.right_slider = wx.Slider(self, minValue=-1000, maxValue=1000, value=-1000, style=wx.HORIZONTAL) | |
| self.sizer.Add(self.right_slider, 0, wx.EXPAND) | |
| self.checkbox = wx.CheckBox(self, label="Show") | |
| self.checkbox.SetValue(True) | |
| self.sizer.Add(self.checkbox, 0, wx.SHAPED | wx.ALIGN_CENTER) | |
| self.update_ui() | |
| self.sizer.Fit(self) | |
| def update_ui(self): | |
| param_group = self.param_groups[self.choice.GetSelection()] | |
| if param_group.is_discrete(): | |
| self.left_slider.Enable(False) | |
| self.right_slider.Enable(False) | |
| self.checkbox.Enable(True) | |
| elif param_group.get_arity() == 1: | |
| self.left_slider.Enable(True) | |
| self.right_slider.Enable(False) | |
| self.checkbox.Enable(False) | |
| else: | |
| self.left_slider.Enable(True) | |
| self.right_slider.Enable(True) | |
| self.checkbox.Enable(False) | |
| def on_choice_updated(self, event: wx.Event): | |
| param_group = self.param_groups[self.choice.GetSelection()] | |
| if param_group.is_discrete(): | |
| self.checkbox.SetValue(True) | |
| self.update_ui() | |
| def set_param_value(self, pose: List[float]): | |
| if len(self.param_groups) == 0: | |
| return | |
| selected_morph_index = self.choice.GetSelection() | |
| param_group = self.param_groups[selected_morph_index] | |
| param_index = param_group.get_parameter_index() | |
| if param_group.is_discrete(): | |
| if self.checkbox.GetValue(): | |
| for i in range(param_group.get_arity()): | |
| pose[param_index + i] = 1.0 | |
| else: | |
| param_range = param_group.get_range() | |
| alpha = (self.left_slider.GetValue() + 1000) / 2000.0 | |
| pose[param_index] = param_range[0] + (param_range[1] - param_range[0]) * alpha | |
| if param_group.get_arity() == 2: | |
| alpha = (self.right_slider.GetValue() + 1000) / 2000.0 | |
| pose[param_index + 1] = param_range[0] + (param_range[1] - param_range[0]) * alpha | |
| class SimpleParamGroupsControlPanel(wx.Panel): | |
| def __init__(self, parent, | |
| pose_param_category: PoseParameterCategory, | |
| param_groups: List[PoseParameterGroup]): | |
| super().__init__(parent, style=wx.SIMPLE_BORDER) | |
| self.sizer = wx.BoxSizer(wx.VERTICAL) | |
| self.SetSizer(self.sizer) | |
| self.SetAutoLayout(1) | |
| self.param_groups = [group for group in param_groups if group.get_category() == pose_param_category] | |
| for param_group in self.param_groups: | |
| assert not param_group.is_discrete() | |
| assert param_group.get_arity() == 1 | |
| self.sliders = [] | |
| for param_group in self.param_groups: | |
| static_text = wx.StaticText( | |
| self, | |
| label=" ------------ %s ------------ " % param_group.get_group_name(), style=wx.ALIGN_CENTER) | |
| self.sizer.Add(static_text, 0, wx.EXPAND) | |
| range = param_group.get_range() | |
| min_value = int(range[0] * 1000) | |
| max_value = int(range[1] * 1000) | |
| slider = wx.Slider(self, minValue=min_value, maxValue=max_value, value=0, style=wx.HORIZONTAL) | |
| self.sizer.Add(slider, 0, wx.EXPAND) | |
| self.sliders.append(slider) | |
| self.sizer.Fit(self) | |
| def set_param_value(self, pose: List[float]): | |
| if len(self.param_groups) == 0: | |
| return | |
| for param_group_index in range(len(self.param_groups)): | |
| param_group = self.param_groups[param_group_index] | |
| slider = self.sliders[param_group_index] | |
| param_range = param_group.get_range() | |
| param_index = param_group.get_parameter_index() | |
| alpha = (slider.GetValue() - slider.GetMin()) * 1.0 / (slider.GetMax() - slider.GetMin()) | |
| pose[param_index] = param_range[0] + (param_range[1] - param_range[0]) * alpha | |
| def convert_output_image_from_torch_to_numpy(output_image): | |
| if output_image.shape[2] == 2: | |
| h, w, c = output_image.shape | |
| numpy_image = torch.transpose(output_image.reshape(h * w, c), 0, 1).reshape(c, h, w) | |
| elif output_image.shape[0] == 4: | |
| numpy_image = rgba_to_numpy_image(output_image) | |
| elif output_image.shape[0] == 3: | |
| numpy_image = rgb_to_numpy_image(output_image) | |
| elif output_image.shape[0] == 1: | |
| c, h, w = output_image.shape | |
| alpha_image = torch.cat([output_image.repeat(3, 1, 1) * 2.0 - 1.0, torch.ones(1, h, w)], dim=0) | |
| numpy_image = rgba_to_numpy_image(alpha_image) | |
| elif output_image.shape[0] == 2: | |
| numpy_image = grid_change_to_numpy_image(output_image, num_channels=4) | |
| else: | |
| raise RuntimeError("Unsupported # image channels: %d" % output_image.shape[0]) | |
| numpy_image = numpy.uint8(numpy.rint(numpy_image * 255.0)) | |
| return numpy_image | |
| class MainFrame(wx.Frame): | |
| def __init__(self, poser: Poser, device: torch.device): | |
| super().__init__(None, wx.ID_ANY, "Poser") | |
| self.poser = poser | |
| self.dtype = self.poser.get_dtype() | |
| self.device = device | |
| self.image_size = self.poser.get_image_size() | |
| self.wx_source_image = None | |
| self.torch_source_image = None | |
| self.main_sizer = wx.BoxSizer(wx.HORIZONTAL) | |
| self.SetSizer(self.main_sizer) | |
| self.SetAutoLayout(1) | |
| self.init_left_panel() | |
| self.init_control_panel() | |
| self.init_right_panel() | |
| self.main_sizer.Fit(self) | |
| self.timer = wx.Timer(self, wx.ID_ANY) | |
| self.Bind(wx.EVT_TIMER, self.update_images, self.timer) | |
| save_image_id = wx.NewIdRef() | |
| self.Bind(wx.EVT_MENU, self.on_save_image, id=save_image_id) | |
| accelerator_table = wx.AcceleratorTable([ | |
| (wx.ACCEL_CTRL, ord('S'), save_image_id) | |
| ]) | |
| self.SetAcceleratorTable(accelerator_table) | |
| self.last_pose = None | |
| self.last_output_index = self.output_index_choice.GetSelection() | |
| self.last_output_numpy_image = None | |
| self.wx_source_image = None | |
| self.torch_source_image = None | |
| self.source_image_bitmap = wx.Bitmap(self.image_size, self.image_size) | |
| self.result_image_bitmap = wx.Bitmap(self.image_size, self.image_size) | |
| self.source_image_dirty = True | |
| def init_left_panel(self): | |
| self.control_panel = wx.Panel(self, style=wx.SIMPLE_BORDER, size=(self.image_size, -1)) | |
| self.left_panel = wx.Panel(self, style=wx.SIMPLE_BORDER) | |
| left_panel_sizer = wx.BoxSizer(wx.VERTICAL) | |
| self.left_panel.SetSizer(left_panel_sizer) | |
| self.left_panel.SetAutoLayout(1) | |
| self.source_image_panel = wx.Panel(self.left_panel, size=(self.image_size, self.image_size), | |
| style=wx.SIMPLE_BORDER) | |
| self.source_image_panel.Bind(wx.EVT_PAINT, self.paint_source_image_panel) | |
| self.source_image_panel.Bind(wx.EVT_ERASE_BACKGROUND, self.on_erase_background) | |
| left_panel_sizer.Add(self.source_image_panel, 0, wx.FIXED_MINSIZE) | |
| self.load_image_button = wx.Button(self.left_panel, wx.ID_ANY, "\nLoad Image\n\n") | |
| left_panel_sizer.Add(self.load_image_button, 1, wx.EXPAND) | |
| self.load_image_button.Bind(wx.EVT_BUTTON, self.load_image) | |
| left_panel_sizer.Fit(self.left_panel) | |
| self.main_sizer.Add(self.left_panel, 0, wx.FIXED_MINSIZE) | |
| def on_erase_background(self, event: wx.Event): | |
| pass | |
| def init_control_panel(self): | |
| self.control_panel_sizer = wx.BoxSizer(wx.VERTICAL) | |
| self.control_panel.SetSizer(self.control_panel_sizer) | |
| self.control_panel.SetMinSize(wx.Size(256, 1)) | |
| morph_categories = [ | |
| PoseParameterCategory.EYEBROW, | |
| PoseParameterCategory.EYE, | |
| PoseParameterCategory.MOUTH, | |
| PoseParameterCategory.IRIS_MORPH | |
| ] | |
| morph_category_titles = { | |
| PoseParameterCategory.EYEBROW: " ------------ Eyebrow ------------ ", | |
| PoseParameterCategory.EYE: " ------------ Eye ------------ ", | |
| PoseParameterCategory.MOUTH: " ------------ Mouth ------------ ", | |
| PoseParameterCategory.IRIS_MORPH: " ------------ Iris morphs ------------ ", | |
| } | |
| self.morph_control_panels = {} | |
| for category in morph_categories: | |
| param_groups = self.poser.get_pose_parameter_groups() | |
| filtered_param_groups = [group for group in param_groups if group.get_category() == category] | |
| if len(filtered_param_groups) == 0: | |
| continue | |
| control_panel = MorphCategoryControlPanel( | |
| self.control_panel, | |
| morph_category_titles[category], | |
| category, | |
| self.poser.get_pose_parameter_groups()) | |
| self.morph_control_panels[category] = control_panel | |
| self.control_panel_sizer.Add(control_panel, 0, wx.EXPAND) | |
| self.non_morph_control_panels = {} | |
| non_morph_categories = [ | |
| PoseParameterCategory.IRIS_ROTATION, | |
| PoseParameterCategory.FACE_ROTATION, | |
| PoseParameterCategory.BODY_ROTATION, | |
| PoseParameterCategory.BREATHING | |
| ] | |
| for category in non_morph_categories: | |
| param_groups = self.poser.get_pose_parameter_groups() | |
| filtered_param_groups = [group for group in param_groups if group.get_category() == category] | |
| if len(filtered_param_groups) == 0: | |
| continue | |
| control_panel = SimpleParamGroupsControlPanel( | |
| self.control_panel, | |
| category, | |
| self.poser.get_pose_parameter_groups()) | |
| self.non_morph_control_panels[category] = control_panel | |
| self.control_panel_sizer.Add(control_panel, 0, wx.EXPAND) | |
| self.control_panel_sizer.Fit(self.control_panel) | |
| self.main_sizer.Add(self.control_panel, 1, wx.FIXED_MINSIZE) | |
| def init_right_panel(self): | |
| self.right_panel = wx.Panel(self, style=wx.SIMPLE_BORDER) | |
| right_panel_sizer = wx.BoxSizer(wx.VERTICAL) | |
| self.right_panel.SetSizer(right_panel_sizer) | |
| self.right_panel.SetAutoLayout(1) | |
| self.result_image_panel = wx.Panel(self.right_panel, | |
| size=(self.image_size, self.image_size), | |
| style=wx.SIMPLE_BORDER) | |
| self.result_image_panel.Bind(wx.EVT_PAINT, self.paint_result_image_panel) | |
| self.result_image_panel.Bind(wx.EVT_ERASE_BACKGROUND, self.on_erase_background) | |
| self.output_index_choice = wx.Choice( | |
| self.right_panel, | |
| choices=[str(i) for i in range(self.poser.get_output_length())]) | |
| self.output_index_choice.SetSelection(0) | |
| right_panel_sizer.Add(self.result_image_panel, 0, wx.FIXED_MINSIZE) | |
| right_panel_sizer.Add(self.output_index_choice, 0, wx.EXPAND) | |
| self.save_image_button = wx.Button(self.right_panel, wx.ID_ANY, "\nSave Image\n\n") | |
| right_panel_sizer.Add(self.save_image_button, 1, wx.EXPAND) | |
| self.save_image_button.Bind(wx.EVT_BUTTON, self.on_save_image) | |
| right_panel_sizer.Fit(self.right_panel) | |
| self.main_sizer.Add(self.right_panel, 0, wx.FIXED_MINSIZE) | |
| def create_param_category_choice(self, param_category: PoseParameterCategory): | |
| params = [] | |
| for param_group in self.poser.get_pose_parameter_groups(): | |
| if param_group.get_category() == param_category: | |
| params.append(param_group.get_group_name()) | |
| choice = wx.Choice(self.control_panel, choices=params) | |
| if len(params) > 0: | |
| choice.SetSelection(0) | |
| return choice | |
| def load_image(self, event: wx.Event): | |
| dir_name = "data/images" | |
| file_dialog = wx.FileDialog(self, "Choose an image", dir_name, "", "*.png", wx.FD_OPEN) | |
| if file_dialog.ShowModal() == wx.ID_OK: | |
| image_file_name = os.path.join(file_dialog.GetDirectory(), file_dialog.GetFilename()) | |
| try: | |
| pil_image = resize_PIL_image(extract_PIL_image_from_filelike(image_file_name), | |
| (self.poser.get_image_size(), self.poser.get_image_size())) | |
| w, h = pil_image.size | |
| if pil_image.mode != 'RGBA': | |
| self.source_image_string = "Image must have alpha channel!" | |
| self.wx_source_image = None | |
| self.torch_source_image = None | |
| else: | |
| self.wx_source_image = wx.Bitmap.FromBufferRGBA(w, h, pil_image.convert("RGBA").tobytes()) | |
| self.torch_source_image = extract_pytorch_image_from_PIL_image(pil_image)\ | |
| .to(self.device).to(self.dtype) | |
| self.source_image_dirty = True | |
| self.Refresh() | |
| self.Update() | |
| except: | |
| message_dialog = wx.MessageDialog(self, "Could not load image " + image_file_name, "Poser", wx.OK) | |
| message_dialog.ShowModal() | |
| message_dialog.Destroy() | |
| file_dialog.Destroy() | |
| def paint_source_image_panel(self, event: wx.Event): | |
| wx.BufferedPaintDC(self.source_image_panel, self.source_image_bitmap) | |
| def paint_result_image_panel(self, event: wx.Event): | |
| wx.BufferedPaintDC(self.result_image_panel, self.result_image_bitmap) | |
| def draw_nothing_yet_string_to_bitmap(self, bitmap): | |
| dc = wx.MemoryDC() | |
| dc.SelectObject(bitmap) | |
| dc.Clear() | |
| font = wx.Font(wx.FontInfo(14).Family(wx.FONTFAMILY_SWISS)) | |
| dc.SetFont(font) | |
| w, h = dc.GetTextExtent("Nothing yet!") | |
| dc.DrawText("Nothing yet!", (self.image_size - w) // 2, (self.image_size - - h) // 2) | |
| del dc | |
| def get_current_pose(self): | |
| current_pose = [0.0 for i in range(self.poser.get_num_parameters())] | |
| for morph_control_panel in self.morph_control_panels.values(): | |
| morph_control_panel.set_param_value(current_pose) | |
| for rotation_control_panel in self.non_morph_control_panels.values(): | |
| rotation_control_panel.set_param_value(current_pose) | |
| return current_pose | |
| def update_images(self, event: wx.Event): | |
| current_pose = self.get_current_pose() | |
| if not self.source_image_dirty \ | |
| and self.last_pose is not None \ | |
| and self.last_pose == current_pose \ | |
| and self.last_output_index == self.output_index_choice.GetSelection(): | |
| return | |
| self.last_pose = current_pose | |
| self.last_output_index = self.output_index_choice.GetSelection() | |
| if self.torch_source_image is None: | |
| self.draw_nothing_yet_string_to_bitmap(self.source_image_bitmap) | |
| self.draw_nothing_yet_string_to_bitmap(self.result_image_bitmap) | |
| self.source_image_dirty = False | |
| self.Refresh() | |
| self.Update() | |
| return | |
| if self.source_image_dirty: | |
| dc = wx.MemoryDC() | |
| dc.SelectObject(self.source_image_bitmap) | |
| dc.Clear() | |
| dc.DrawBitmap(self.wx_source_image, 0, 0) | |
| self.source_image_dirty = False | |
| pose = torch.tensor(current_pose, device=self.device, dtype=self.dtype) | |
| output_index = self.output_index_choice.GetSelection() | |
| with torch.no_grad(): | |
| output_image = self.poser.pose(self.torch_source_image, pose, output_index)[0].detach().cpu() | |
| numpy_image = convert_output_image_from_torch_to_numpy(output_image) | |
| self.last_output_numpy_image = numpy_image | |
| wx_image = wx.ImageFromBuffer( | |
| numpy_image.shape[0], | |
| numpy_image.shape[1], | |
| numpy_image[:, :, 0:3].tobytes(), | |
| numpy_image[:, :, 3].tobytes()) | |
| wx_bitmap = wx_image.ConvertToBitmap() | |
| dc = wx.MemoryDC() | |
| dc.SelectObject(self.result_image_bitmap) | |
| dc.Clear() | |
| dc.DrawBitmap(wx_bitmap, | |
| (self.image_size - numpy_image.shape[0]) // 2, | |
| (self.image_size - numpy_image.shape[1]) // 2, | |
| True) | |
| del dc | |
| self.Refresh() | |
| self.Update() | |
| def get_current_posedict(self): | |
| # Your dictionary of keys | |
| keys = ['eyebrow_troubled_left_index', 'eyebrow_troubled_right_index', 'eyebrow_angry_left_index', 'eyebrow_angry_right_index', 'eyebrow_lowered_left_index', 'eyebrow_lowered_right_index', 'eyebrow_raised_left_index', 'eyebrow_raised_right_index', 'eyebrow_happy_left_index', 'eyebrow_happy_right_index', 'eyebrow_serious_left_index', 'eyebrow_serious_right_index', 'eye_wink_left_index', 'eye_wink_right_index', 'eye_happy_wink_left_index', 'eye_happy_wink_right_index', 'eye_surprised_left_index', 'eye_surprised_right_index', 'eye_relaxed_left_index', 'eye_relaxed_right_index', 'eye_unimpressed', 'eye_unimpressed', 'eye_raised_lower_eyelid_left_index', 'eye_raised_lower_eyelid_right_index', 'iris_small_left_index', 'iris_small_right_index', 'mouth_aaa_index', 'mouth_iii_index', 'mouth_uuu_index', 'mouth_eee_index', 'mouth_ooo_index', 'mouth_delta', 'mouth_lowered_corner_left_index', 'mouth_lowered_corner_right_index', 'mouth_raised_corner_left_index', 'mouth_raised_corner_right_index', 'mouth_smirk', 'iris_rotation_x_index', 'iris_rotation_y_index', 'head_x_index', 'head_y_index', 'neck_z_index', 'body_y_index', 'body_z_index', 'breathing_index'] | |
| # Get the current pose as a list of values | |
| current_pose_values = self.get_current_pose() # replace this with the actual method or property that gets the pose values | |
| # Create a dictionary by zipping together the keys and values | |
| current_pose_dict = dict(zip(keys, current_pose_values)) | |
| return current_pose_dict | |
| def on_save_image(self, event: wx.Event): | |
| if self.last_output_numpy_image is None: | |
| logging.info("There is no output image to save!!!") | |
| return | |
| #keys = ['eyebrow_troubled_left_index', 'eyebrow_troubled_right_index', 'eyebrow_angry_left_index', 'eyebrow_angry_right_index', 'eyebrow_lowered_left_index', 'eyebrow_lowered_right_index', 'eyebrow_raised_left_index', 'eyebrow_raised_right_index', 'eyebrow_happy_left_index', 'eyebrow_happy_right_index', 'eyebrow_serious_left_index', 'eyebrow_serious_right_index', 'eye_wink_left_index', 'eye_wink_right_index', 'eye_happy_wink_left_index', 'eye_happy_wink_right_index', 'eye_surprised_left_index', 'eye_surprised_right_index', 'eye_relaxed_left_index', 'eye_relaxed_right_index', 'eye_unimpressed', 'eye_unimpressed', 'eye_raised_lower_eyelid_left_index', 'eye_raised_lower_eyelid_right_index', 'iris_small_left_index', 'iris_small_right_index', 'mouth_aaa_index', 'mouth_iii_index', 'mouth_uuu_index', 'mouth_eee_index', 'mouth_ooo_index', 'mouth_delta', 'mouth_lowered_corner_left_index', 'mouth_lowered_corner_right_index', 'mouth_raised_corner_left_index', 'mouth_raised_corner_right_index', 'mouth_smirk', 'iris_rotation_x_index', 'iris_rotation_y_index', 'head_x_index', 'head_y_index', 'neck_z_index', 'body_y_index', 'body_z_index', 'breathing_index'] | |
| #current_pose_dict = dict(zip(keys, self.get_current_pose())) | |
| #print(current_pose_dict) | |
| # output settings to console. | |
| dir_name = "data/images" | |
| file_dialog = wx.FileDialog(self, "Choose an image", dir_name, "", "*.png", wx.FD_SAVE) | |
| if file_dialog.ShowModal() == wx.ID_OK: | |
| image_file_name = os.path.join(file_dialog.GetDirectory(), file_dialog.GetFilename()) | |
| try: | |
| if os.path.exists(image_file_name): | |
| message_dialog = wx.MessageDialog(self, f"Override {image_file_name}", "Manual Poser", | |
| wx.YES_NO | wx.ICON_QUESTION) | |
| result = message_dialog.ShowModal() | |
| if result == wx.ID_YES: | |
| self.save_last_numpy_image(image_file_name) | |
| else: | |
| self.save_last_numpy_image(image_file_name) | |
| except: | |
| message_dialog = wx.MessageDialog(self, f"Could not save {image_file_name}", "Manual Poser", wx.OK) | |
| message_dialog.ShowModal() | |
| message_dialog.Destroy() | |
| file_dialog.Destroy() | |
| def save_last_numpy_image(self, image_file_name): | |
| numpy_image = self.last_output_numpy_image | |
| pil_image = PIL.Image.fromarray(numpy_image, mode='RGBA') | |
| os.makedirs(os.path.dirname(image_file_name), exist_ok=True) | |
| pil_image.save(image_file_name) | |
| data_dict = self.get_current_posedict() # Get values | |
| json_file_path = os.path.splitext(image_file_name)[0] + ".json" # Generate JSON file path | |
| filename_without_extension = os.path.splitext(os.path.basename(image_file_name))[0] | |
| data_dict_with_filename = {filename_without_extension: data_dict} # Create a new dict with the filename as the key | |
| with open(json_file_path, "w") as file: | |
| json.dump(data_dict_with_filename, file, indent=4) | |
| if __name__ == "__main__": | |
| parser = argparse.ArgumentParser(description='Manually pose a character image.') | |
| parser.add_argument( | |
| '--model', | |
| type=str, | |
| required=False, | |
| default='separable_float', | |
| choices=['standard_float', 'separable_float', 'standard_half', 'separable_half'], | |
| help='The model to use.') | |
| args = parser.parse_args() | |
| device = torch.device('cuda') | |
| try: | |
| poser = load_poser(args.model, device) | |
| except RuntimeError as e: | |
| print(e) | |
| sys.exit() | |
| app = wx.App() | |
| main_frame = MainFrame(poser, device) | |
| main_frame.Show(True) | |
| main_frame.timer.Start(30) | |
| app.MainLoop() | |