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import os
import gradio as gr
import pandas as pd
import plotly
import plotly.graph_objects as go
from assets.color import color_dict
from assets.path import SEASON
def read_testset(season):
return pd.read_json(os.path.join("results", SEASON[season], "test_dataset.json"))
def build_keypoint_plot(dataset):
keypoint_set = {}
for i, categories in enumerate(dataset['categories']):
for category in categories:
parent = ""
for keypoint in category:
if not keypoint:
keypoint = "未分类"
if keypoint not in keypoint_set:
keypoint_set[keypoint] = {"value": 0}
keypoint_set[keypoint]['value'] += 1
keypoint_set[keypoint]['parent'] = parent
keypoint_set[keypoint]['color'] = category[0] if category[0] else "未分类"
parent = keypoint
labels, parents, values, colors = [], [], [], []
for k, v in keypoint_set.items():
labels.append(k)
parents.append(v['parent'])
values.append(v['value'])
colors.append(color_dict[v['color']])
fig = go.Figure(go.Sunburst(
labels=labels,
parents=parents,
values=values,
branchvalues="total",
insidetextorientation='radial',
marker={"colors": colors}
))
return fig
def build_difficulty_plot(dataset):
xs = sorted(dataset['difficulty'].unique())
ys = [len(dataset[dataset['difficulty'] == x]) for x in xs]
fig = go.Figure([go.Bar(x=xs, y=ys, marker={"color": ys, "colorscale": "Viridis",
"colorbar": {"title": "Total"}})])
fig.update_layout(yaxis=dict(type='log'))
return fig
def build_plot(season):
dataset = pd.read_json(os.path.join("results", SEASON[season], "test_dataset.json"))
return build_keypoint_plot(dataset), build_difficulty_plot(dataset)
def create_data(top_components):
with gr.Tab("All data"):
with gr.Row():
all_keypoint_plot = gr.Plot(
plotly.io.from_json(open("assets/keypoint_distribution.json", encoding="utf-8").read()),
label="Keypoint Distribution")
all_difficulty_plot = gr.Plot(
plotly.io.from_json(open("assets/difficulty_distribution.json", encoding="utf-8").read()),
label="Difficulty Distribution")
with gr.Tab("Test Data"):
with gr.Row():
k_fig, d_fig = build_plot("latest")
test_keypoint_plot = gr.Plot(k_fig, label="Keypoint Distribution")
test_difficulty_plot = gr.Plot(d_fig, label="Difficulty Distribution")
return {"all_keypoint": all_keypoint_plot, "all_difficulty": all_difficulty_plot,
"test_keypoint": test_keypoint_plot, "test_difficulty": test_difficulty_plot}