69 lines
2.9 KiB
Python
69 lines
2.9 KiB
Python
# Copyright (c) 2024 Bytedance Ltd. and/or its affiliates
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import torch
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import matplotlib.pyplot as plt
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class Chart:
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def __init__(self):
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self.loss_list = []
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def add_ckpt(self, ckpt_path, line_name):
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ckpt = torch.load(ckpt_path, map_location="cpu")
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train_step_list = ckpt["train_step_list"]
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train_loss_list = ckpt["train_loss_list"]
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val_step_list = ckpt["val_step_list"]
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val_loss_list = ckpt["val_loss_list"]
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val_step_list = [val_step_list[0]] + val_step_list[4::5]
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val_loss_list = [val_loss_list[0]] + val_loss_list[4::5]
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self.loss_list.append((line_name, train_step_list, train_loss_list, val_step_list, val_loss_list))
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def draw(self, save_path, plot_val=True):
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# Global settings
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plt.rcParams["font.size"] = 14
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plt.rcParams["font.family"] = "serif"
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plt.rcParams["font.sans-serif"] = ["Arial", "DejaVu Sans", "Lucida Grande"]
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plt.rcParams["font.serif"] = ["Times New Roman", "DejaVu Serif"]
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# Creating the plot
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plt.figure(figsize=(7.766, 4.8)) # Golden ratio
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for loss in self.loss_list:
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if plot_val:
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(line,) = plt.plot(loss[1], loss[2], label=loss[0], linewidth=0.5, alpha=0.5)
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line_color = line.get_color()
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plt.plot(loss[3], loss[4], linewidth=1.5, color=line_color)
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else:
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plt.plot(loss[1], loss[2], label=loss[0], linewidth=1)
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plt.xlabel("Step")
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plt.ylabel("Loss")
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legend = plt.legend()
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# legend = plt.legend(loc='upper right', bbox_to_anchor=(1, 0.82))
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# Adjust the linewidth of legend
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for line in legend.get_lines():
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line.set_linewidth(2)
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plt.savefig(save_path, transparent=True)
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plt.close()
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if __name__ == "__main__":
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chart = Chart()
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# chart.add_ckpt("output/syncnet/train-2024_10_25-18:14:43/checkpoints/checkpoint-10000.pt", "w/ self-attn")
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# chart.add_ckpt("output/syncnet/train-2024_10_25-18:21:59/checkpoints/checkpoint-10000.pt", "w/o self-attn")
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chart.add_ckpt("output/syncnet/train-2024_10_28-23:16:40/checkpoints/checkpoint-20000.pt", "Wav2Lip SyncNet")
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chart.add_ckpt("output/syncnet/train-2024_10_29-20:13:43/checkpoints/checkpoint-20000.pt", "StableSyncNet")
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chart.draw("ablation.pdf", plot_val=True)
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