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import gradio as gr | |
import os | |
import json | |
from huggingface_hub import hf_hub_download, list_repo_files, upload_file, HfApi | |
from datasets import load_dataset, Dataset | |
import logging | |
import tempfile | |
import random # Add this at the top with other imports | |
# Configure logging | |
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') | |
logger = logging.getLogger(__name__) | |
# Cricket annotation categories | |
ANNOTATION_CATEGORIES = { | |
"Bowler's Run Up": ["Fast", "Spin"], | |
"Delivery Type": ["Yorker", "Bouncer", "Length Ball", "Slower ball", "Googly", "Arm Ball", "Half volley", "Full Toss", "Other"], | |
"Ball's trajectory": ["In Swing", "Out Swing", "Off spin", "Leg spin", "Straight", "Other"], | |
"Shot Played": ["Cover Drive", "Straight Drive", "On Drive", "Pull", "Square Cut", "Defensive Block", "Missed", "Slog", "Sweep", "Reverse Sweep", "Upper Cut", "Hook", "Other"], | |
"Shot type": ["Grounded", "Airborne"], | |
"Outcome of the shot": ["Four (4)", "Six (6)", "Wicket", "Single (1)", "Double (2)", "Triple (3)", "Dot (0)", "Wide", "No Ball", "Other"], | |
"Shot direction": ["Long On", "Long Off", "Cover", "Point", "Midwicket", "Square Leg", "Third Man", "Fine Leg", "Straight", "Square", "Other"], | |
"Batsman's Action": ["Defensive", "Aggressive", "Neutral"], | |
"Fielder's Action": ["Catch taken", "Catch dropped", "Misfield", "Run-out attempt", "Fielder fields",'Cannot field', 'Other'], | |
} | |
HF_REPO_ID = "cricverse/CricBench" | |
HF_REPO_TYPE = "dataset" | |
class VideoAnnotator: | |
def __init__(self): | |
self.video_files = [] | |
self.current_video_idx = 0 | |
self.annotations = {} | |
self.hf_token = os.environ.get("HF_TOKEN") | |
self.dataset = None | |
self.annotation_repo_id = "cricverse/CricBench_Annotations" | |
self.annotation_repo_type = "dataset" | |
self.annotation_hf_token = os.environ.get("upload_token") | |
if not self.annotation_hf_token: | |
raise ValueError("HF_ANNOTATION_TOKEN not found") | |
self.api = HfApi(token=self.annotation_hf_token) | |
def load_videos_from_hf(self): | |
try: | |
logger.info(f"Loading dataset from HuggingFace: {HF_REPO_ID}") | |
self.dataset = load_dataset(HF_REPO_ID, token=self.hf_token) | |
# Usually "train" split | |
split = list(self.dataset.keys())[0] | |
self.dataset_split = self.dataset[split] | |
# Get all the video files from the CricBench dataset | |
all_video_files = [item['video'] if 'video' in item else item['path'] | |
for item in self.dataset_split] | |
logger.info(f"Found {len(all_video_files)} potential video files in source dataset.") | |
# Filter out already annotated videos | |
logger.info(f"Checking for existing annotations in {self.annotation_repo_id}") | |
try: | |
# List files in the 'annotations' directory of the annotation repo | |
annotated_files = self.api.list_repo_files( | |
repo_id=self.annotation_repo_id, | |
repo_type=self.annotation_repo_type, | |
# path_in_repo="annotations" | |
) | |
# Extract base video names from annotation filenames | |
# e.g., "annotations/video1.mp4.jsonl" -> "video1.mp4" | |
annotated_video_basenames = set( | |
os.path.basename(f).replace('.jsonl', '') | |
for f in annotated_files | |
if f.startswith("annotations/") and f.endswith(".jsonl") | |
) | |
logger.info(f"Found {len(annotated_video_basenames)} existing annotation files.") | |
# Filter the video list: keep only videos whose basename is NOT in the annotated set | |
self.video_files = [ | |
vf for vf in all_video_files | |
if os.path.basename(vf) not in annotated_video_basenames | |
] | |
logger.info(f"Filtered list: {len(self.video_files)} videos remaining to be annotated.") | |
except Exception as e: | |
# Log error and fallback to using all videos if the check fails | |
logger.error(f"Could not list or process annotation files: {e}. Proceeding with all videos, but conflicts may occur.") | |
self.video_files = all_video_files | |
if not self.video_files: | |
logger.warning("No videos left to annotate!") | |
return len(self.video_files) > 0 | |
except Exception as e: | |
logger.error(f"Error accessing HuggingFace dataset: {e}") | |
return False | |
def get_current_video(self): | |
if not self.video_files: | |
logger.warning("No video files available") | |
return None | |
video_path = self.video_files[self.current_video_idx] | |
logger.info(f"Loading video: {video_path}") | |
try: | |
local_path = hf_hub_download( | |
repo_id=HF_REPO_ID, | |
filename=video_path, | |
repo_type=HF_REPO_TYPE | |
) | |
logger.info(f"Video downloaded to: {local_path}") | |
return local_path | |
except Exception as e: | |
logger.error(f"Error downloading video: {e}") | |
return None | |
def save_annotation(self, *annotations): | |
# Convert the list of annotations into a dictionary | |
annotations_dict = { | |
category: value | |
for category, value in zip(ANNOTATION_CATEGORIES.keys(), annotations) | |
if value is not None # Only include non-None values | |
} | |
if not annotations_dict: | |
logger.warning("No annotations to save") | |
return "No annotations to save" | |
video_name = os.path.basename(self.video_files[self.current_video_idx]) | |
logger.info(f"Saving annotations for {video_name}: {annotations_dict}") | |
try: | |
# Save annotations in JSONL format | |
annotation_entry = { | |
"video_id": video_name, | |
"annotations": annotations_dict | |
} | |
jsonl_content = json.dumps(annotation_entry) + "\n" | |
# Write to a temporary JSONL file | |
with tempfile.NamedTemporaryFile(delete=False, suffix=".jsonl") as temp_file: | |
temp_file.write(jsonl_content.encode('utf-8')) | |
temp_file_path = temp_file.name | |
# Upload the JSONL file to Hugging Face | |
# if self.annotation_hf_token: | |
logger.info(f"Uploading annotations to Hugging Face: {self.annotation_repo_id}") | |
self.api.upload_file( | |
path_or_fileobj=temp_file_path, | |
path_in_repo=f"annotations/{video_name}.jsonl", | |
repo_id=self.annotation_repo_id, | |
repo_type=self.annotation_repo_type, | |
# token=self.annotation_hf_token | |
) | |
return f"Annotations saved and uploaded for {video_name}" | |
# else: | |
# logger.warning("HF_ANNOTATION_TOKEN not found. Annotations saved locally only.") | |
# return f"Annotations saved locally for {video_name} (no HF upload)" | |
except Exception as e: | |
logger.error(f"Error saving annotations: {e}") | |
return f"Error saving: {str(e)}" | |
def load_existing_annotation(self): | |
"""Try to load existing annotation for the current video from the dataset""" | |
if not self.dataset or not self.video_files: | |
return None | |
try: | |
# Get the split name (e.g., 'train') | |
split = list(self.dataset.keys())[0] | |
# Check if the current item has annotations | |
if 'annotations' in self.dataset[split][self.current_video_idx]: | |
annotation_str = self.dataset[split][self.current_video_idx]['annotations'] | |
if annotation_str: | |
return json.loads(annotation_str) | |
return None | |
except Exception as e: | |
logger.error(f"Error loading existing annotation: {e}") | |
return None | |
def next_video(self, *current_annotations): | |
# Save current annotations before moving to next video | |
save_status = "No annotations provided to save." # Default status | |
if self.video_files: | |
annotations_provided = any(ann is not None for ann in current_annotations) | |
if annotations_provided: | |
save_status = self.save_annotation(*current_annotations) | |
logger.info(f"Save status before moving next: {save_status}") | |
else: | |
logger.info("No annotations selected, skipping save before moving next.") | |
save_status = "Skipped saving - no annotations selected." | |
# Select a random video index different from the current one | |
available_indices = [i for i in range(len(self.video_files)) if i != self.current_video_idx] | |
if available_indices: # If there are other videos to choose from | |
self.current_video_idx = random.choice(available_indices) | |
logger.info(f"Moving to random video (index: {self.current_video_idx})") | |
return self.get_current_video(), *[None] * len(ANNOTATION_CATEGORIES), save_status | |
else: | |
logger.info("No other videos available") | |
return self.get_current_video(), *[None] * len(ANNOTATION_CATEGORIES), "No other videos available. " + save_status | |
return self.get_current_video(), *[None] * len(ANNOTATION_CATEGORIES), save_status | |
def prev_video(self, *current_annotations): | |
# Save current annotations before moving to previous video | |
save_status = "No annotations provided to save." # Default status | |
if self.video_files: | |
annotations_provided = any(ann is not None for ann in current_annotations) | |
if annotations_provided: | |
save_status = self.save_annotation(*current_annotations) | |
logger.info(f"Save status before moving previous: {save_status}") | |
else: | |
logger.info("No annotations selected, skipping save before moving previous.") | |
save_status = "Skipped saving - no annotations selected." | |
# Move to previous video | |
if self.current_video_idx > 0: | |
self.current_video_idx -= 1 | |
logger.info(f"Moving to previous video (index: {self.current_video_idx})") | |
# --- Start Edit: Return only the save status as the last element --- | |
return self.get_current_video(), *[None] * len(ANNOTATION_CATEGORIES), save_status | |
# --- End Edit --- | |
else: | |
logger.info("Already at the first video") | |
# --- Start Edit: Return only the save status as the last element --- | |
return self.get_current_video(), *[None] * len(ANNOTATION_CATEGORIES), "Already at the first video. " + save_status | |
# --- End Edit --- | |
def create_interface(): | |
def get_session_annotator(): | |
annotator = VideoAnnotator() | |
success = annotator.load_videos_from_hf() | |
if not success: | |
logger.error("Failed to load videos. Interface might not function correctly.") | |
return annotator | |
with gr.Blocks() as demo: | |
# Create a state variable to store the session-specific annotator | |
annotator_state = gr.State(value=get_session_annotator()) # Initialize with the instance | |
gr.Markdown("# Cricket Video Annotation Tool") | |
total_categories = len(ANNOTATION_CATEGORIES) | |
def update_progress(*annotation_values): | |
filled_count = sum(1 for val in annotation_values if val is not None) | |
return f"**Progress:** {filled_count} / {total_categories} categories selected" | |
with gr.Row(): # Main row to hold video and controls side-by-side | |
with gr.Column(scale=2): # Column for Video Player and Nav Buttons | |
video_player = gr.Video( | |
value=None, # Initialize with None, we'll set it after getting the annotator | |
label="Current Video", | |
height=350 | |
) | |
status_display = gr.Textbox(label="Status", interactive=False) # For save/nav messages | |
with gr.Row(): | |
prev_btn = gr.Button("Previous Video") | |
next_btn = gr.Button("Next Video") | |
with gr.Column(scale=2): # Column for Annotations and Save Button | |
annotation_components = [] | |
gr.Markdown("## Annotations") # Header for the annotation section | |
# Display annotation radio buttons vertically in this column | |
for category, options in ANNOTATION_CATEGORIES.items(): | |
radio = gr.Radio( | |
choices=options, | |
label=category, | |
) | |
annotation_components.append(radio) | |
progress_display = gr.Markdown(value=update_progress(*[None]*total_categories)) # Initial progress | |
# Attach change listener to each radio button | |
for radio in annotation_components: | |
radio.change( | |
fn=update_progress, | |
inputs=annotation_components, | |
outputs=progress_display | |
) | |
save_btn = gr.Button("Save Annotations", variant="primary") | |
# Modify the load event handler to properly initialize and return all outputs | |
def on_load(): | |
annotator = get_session_annotator() # Create a fresh instance | |
return ( | |
annotator.get_current_video(), # video player | |
*[None] * len(ANNOTATION_CATEGORIES), # annotation components | |
"" # status display | |
) | |
# Modify the event handlers to use the session-specific annotator | |
save_btn.click( | |
fn=lambda annotator, *args: annotator.save_annotation(*args), | |
inputs=[annotator_state] + annotation_components, | |
outputs=status_display | |
) | |
next_btn.click( | |
fn=lambda annotator, *args: annotator.next_video(*args), | |
inputs=[annotator_state] + annotation_components, | |
outputs=[video_player] + annotation_components + [status_display] | |
) | |
prev_btn.click( | |
fn=lambda annotator, *args: annotator.prev_video(*args), | |
inputs=[annotator_state] + annotation_components, | |
outputs=[video_player] + annotation_components + [status_display] | |
) | |
return demo | |
if __name__ == "__main__": | |
demo = create_interface() | |
demo.queue() | |
demo.launch(allowed_paths=["/"]) |