face_checkpoint.py

import pandas as pd
import os

# ============================================================
# USER INPUT
# ============================================================

csv_path = input("Enter the path of your face_analysis.csv file: ").strip()

# Remove quotes if the user pastes a path like:
# "C:\Users\User\Desktop\face_analysis.csv"
csv_path = csv_path.strip('"').strip("'")

# ============================================================
# CHECK FILE
# ============================================================

if not os.path.isfile(csv_path):
    print("\nERROR: File not found.")
    print("Please check the file path and try again.")
    exit()

# ============================================================
# LOAD CSV
# ============================================================

df = pd.read_csv(csv_path)

# ============================================================
# MOVEMENT COLUMNS
# ============================================================

movement_columns = [
    "lip_movement",
    "left_eyebrow_movement",
    "right_eyebrow_movement",
    "left_cheek_movement",
    "right_cheek_movement",
    "jawline_movement"
]

# ============================================================
# CHECK REQUIRED COLUMNS
# ============================================================

missing_columns = [
    col for col in movement_columns
    if col not in df.columns
]

if missing_columns:
    print("\nERROR: The following columns are missing from the CSV:")
    for col in missing_columns:
        print(f" - {col}")
    exit()

# ============================================================
# MOVEMENT STATISTICS
# ============================================================

print("\n==============================================")
print("       FACIAL MOVEMENT STATISTICS")
print("==============================================")

print(f"\nInput file: {csv_path}")
print(f"Total frames: {len(df)}")

print("\nMovement Statistics:\n")

print(
    df[movement_columns].describe(
        percentiles=[0.50, 0.75, 0.90, 0.95, 0.99]
    )
)