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import argparse | |
import json | |
import os | |
import os.path as osp | |
import gradio as gr | |
import numpy as np | |
from tasks.eval.recaption import load_results as load_results_recaption | |
from tasks.eval.mvbench import load_results as load_results_mvbench | |
from tasks.eval.vcgbench import load_results as load_results_vcgbench | |
from tasks.eval.videoqabench import load_results as load_results_videoqabench | |
from tasks.eval.demo import pllava_theme | |
load_results_funcs = [ | |
load_results_recaption, | |
load_results_mvbench, | |
load_results_vcgbench, | |
load_results_videoqabench, | |
] | |
def parse_args(): | |
parser = argparse.ArgumentParser() | |
parser.add_argument( | |
'--root_dir', | |
required=True, | |
) | |
args = parser.parse_args() | |
return args | |
args = parse_args() | |
root_dir = args.root_dir | |
def show(result_list_first, result_list_second, result_index): | |
sample2index_second = {} | |
for i, result in enumerate(result_list_second): | |
if 'video_path' not in result: | |
continue | |
question = result['question'] if 'question' in result else '' | |
video_path = result['video_path'] | |
samplehash = question + '--' +video_path | |
sample2index_second[samplehash] = i | |
info = result_list_first[result_index] | |
info_str_first = json.dumps(info, indent=4, ensure_ascii=False) | |
video_path = info['video_path'] | |
question = info['question'] if 'question' in info else '' | |
samplehash = question + '--' +video_path | |
if samplehash in sample2index_second: | |
info = result_list_second[sample2index_second[samplehash]] | |
info_str_second = json.dumps(info, indent=4, ensure_ascii=False) | |
else: | |
info_str_second = f"NO {video_path} IN THE SECOND RESULT DIR" | |
return video_path, info_str_first, info_str_second | |
def reload_results_dirs(): | |
result_dirs = [] | |
# load result dir paths | |
for dirpath, dirnames, filenames in os.walk(args.root_dir): | |
if len(dirnames) == 0 and len(filenames) != 0: | |
result_dirs.append(dirpath) | |
return gr.Dropdown(result_dirs, value=result_dirs[0]) | |
def reload_results(result_dir): | |
# if isinstance(result_dir, list): | |
# result_dir = result_dir[0] | |
if result_dir is None or not osp.exists(result_dir): | |
return None | |
for fn in load_results_funcs: | |
result_list = fn(result_dir) | |
if result_list is not None: | |
np.random.shuffle(result_list) | |
break | |
result_index = gr.Slider(0, len(result_list), step=1) | |
return result_list, result_index | |
with gr.Blocks(title="PLLAVA RESULTS", theme=pllava_theme) as demo: | |
result_list_first = gr.State() | |
result_list_second = gr.State() | |
with gr.Row(): | |
with gr.Column(): | |
gr.Markdown("# Showing off Model's Outputs.") | |
gr.Markdown( | |
"You can find all our results, including:\n" | |
"1. results of Captioned Inter4k\n" | |
"2. results of Different Benchmark inference outputs.\n" | |
"Choose a directory to see the different output variant.\n" | |
"You can also choose secondary directory (as long as they are from the same dataset.) to compare on the results.\n" | |
) | |
with gr.Row(): | |
with gr.Column(): | |
show_video = gr.Video(interactive=False) | |
with gr.Column(): | |
button_reload = gr.Button(value='Reload From The Evaluation/Inference Root Directory') | |
result_index = gr.Slider(0, 0, step=1, label="Index") | |
result_dir_first = gr.Dropdown(label='Test Result Path') | |
info_first = gr.Text(interactive=False, label='Detailed Output Information') | |
result_dir_second = gr.Dropdown(label='Test Result Path') | |
info_second = gr.Text(interactive=False, label='Detailed Output Information') | |
button_reload.click(reload_results_dirs, [], [result_dir_first]) | |
button_reload.click(reload_results_dirs, [], [result_dir_second]) | |
result_dir_first.change(reload_results, [result_dir_first], [result_list_first, result_index]) | |
result_dir_second.change(reload_results, [result_dir_second], [result_list_second, result_index]) | |
result_index.change(show, [result_list_first, result_list_second, result_index], [show_video, info_first, info_second]) | |
demo.load(reload_results_dirs, [], [result_dir_first]) | |
demo.load(reload_results_dirs, [], [result_dir_second]) | |
demo.launch(share=True) |