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)