diff --git a/A10/cv_results/cv_dense_20260421_120738.json b/A10/cv_results/cv_dense_20260421_120738.json new file mode 100644 index 0000000000000000000000000000000000000000..a7a214407cc9b1726af8ad5dada2042dc12c7e72 --- /dev/null +++ b/A10/cv_results/cv_dense_20260421_120738.json @@ -0,0 +1,46 @@ +{ + "model_type": "dense", + "model_config": { + "n_layers": 2, + "n_units": 64, + "dropout_rate": 0.2 + }, + "optimizer": "adam", + "learning_rate": 0.001, + "loss": "mse", + "epochs": 50, + "batch_size": 32, + "n_folds": 3, + "fold_results": [ + { + "mse": 0.0032802510540932417, + "rmse": 0.057273476008473954, + "mae": 0.03510827198624611, + "r2": 0.616958498954773, + "fold": 1, + "epochs_trained": 24 + }, + { + "mse": 0.003166707931086421, + "rmse": 0.05627351002991035, + "mae": 0.036439381539821625, + "r2": 0.6341696381568909, + "fold": 2, + "epochs_trained": 32 + }, + { + "mse": 0.0038959148805588484, + "rmse": 0.062417264282879685, + "mae": 0.03941710665822029, + "r2": 0.5685998201370239, + "fold": 3, + "epochs_trained": 30 + } + ], + "mean_mse": 0.003447624621912837, + "std_mse": 0.0003203603462698594, + "mean_mae": 0.03698825339476267, + "std_mae": 0.0018013808208263528, + "mean_r2": 0.6065759857495626, + "std_r2": 0.027757253636144584 +} \ No newline at end of file diff --git a/A10/data_loader.py b/A10/data_loader.py index 4ca4597e5ce541747378631e4d59601a295c4fbe..32db6f6470ed3145f40d5c766886bd3147badb6e 100644 --- a/A10/data_loader.py +++ b/A10/data_loader.py @@ -78,9 +78,11 @@ def load_kinect_csv(filepath: Union[str, bytes]) -> Dict[str, np.ndarray]: Returns: Dict with: - 'xy' : (N, 26) Kinect x,y (Issue #40 target) - 'z' : (N, 13) Kinect z - 'xyz' : (N, 39) Kinect x,y,z (Issue #41 target) + 'xy' : (N, 26) Kinect x,y (Issue #40 target) + 'z' : (N, 13) Kinect z + 'xyz' : (N, 39) Kinect x,y,z (Issue #41 target) + 'frames' : (N,) FrameNo values (int) if the column exists, else + np.arange(N) as a fallback. """ if isinstance(filepath, (str, os.PathLike)): df = pd.read_csv(filepath) @@ -94,20 +96,35 @@ def load_kinect_csv(filepath: Union[str, bytes]) -> Dict[str, np.ndarray]: z_cols.append(f"{joint}_z") xyz_cols.extend([f"{joint}_x", f"{joint}_y", f"{joint}_z"]) + if 'FrameNo' in df.columns: + frames = df['FrameNo'].values.astype(np.int64) + else: + frames = np.arange(len(df), dtype=np.int64) + return { 'xy': df[xy_cols].values.astype(np.float32), 'z': df[z_cols].values.astype(np.float32), 'xyz': df[xyz_cols].values.astype(np.float32), + 'frames': frames, } -def load_posenet_csv(filepath: str) -> np.ndarray: +def load_posenet_csv( + filepath: str, + frame_filter: Optional[np.ndarray] = None, +) -> np.ndarray: """ Load a PoseNet/MoveNet CSV already aligned to Kinect joint order. Expected columns (per slide spec): FrameNo, head_x, head_y, left_shoulder_x, left_shoulder_y, ... + Args: + filepath: PoseNet CSV path. + frame_filter: Optional array of FrameNo values to select in order. + Used to temporally align PoseNet frames to the corresponding + Kinect frames (Kinect CSVs may start at FrameNo != 0). + Returns: (N, 26) PoseNet x,y for 13 joints. """ @@ -116,6 +133,17 @@ def load_posenet_csv(filepath: str) -> np.ndarray: xy_cols = [] for joint in KINECT_JOINTS: xy_cols.extend([f"{joint}_x", f"{joint}_y"]) + + if frame_filter is not None and 'FrameNo' in df.columns: + df = df.set_index('FrameNo') + missing = [f for f in frame_filter if f not in df.index] + if missing: + raise ValueError( + f"{len(missing)} FrameNo(s) missing from {filepath} " + f"(first missing: {missing[:5]})" + ) + df = df.loc[frame_filter] + return df[xy_cols].values.astype(np.float32) @@ -149,10 +177,8 @@ def load_paired_sequence( kinect = load_kinect_csv(kinect_path) if posenet_path is not None: - X = load_posenet_csv(posenet_path) - n = min(len(X), len(kinect['xy'])) - X = X[:n] - kinect = {k: v[:n] for k, v in kinect.items()} + # Align PoseNet to Kinect by FrameNo when both CSVs carry that column. + X = load_posenet_csv(posenet_path, frame_filter=kinect['frames']) elif simulate_posenet: rng = np.random.default_rng(random_state) X = kinect['xy'] + rng.normal(0.0, noise_std, kinect['xy'].shape).astype(np.float32) diff --git a/A10/generate_posenet_data.py b/A10/generate_posenet_data.py new file mode 100644 index 0000000000000000000000000000000000000000..39bd028364bb9a53ca1421908439b433eb6ab174 --- /dev/null +++ b/A10/generate_posenet_data.py @@ -0,0 +1,196 @@ +""" +Generate PoseNet/MoveNet (xpn, ypn) CSVs from video files. + +For each .avi video in --videos-dir, runs MoveNet on every frame, projects the +17 COCO keypoints to the 13 Kinect-aligned joints used by Issue #40, and writes +one CSV per video to --out-dir with columns: + + FrameNo, head_x, head_y, left_shoulder_x, left_shoulder_y, ... + +The FrameNo column preserves the video frame index (0-based), so temporal +alignment with the corresponding Kinect CSV (which may start at a later +FrameNo such as 68) can be done later in the data loader. + +Usage: + python3 generate_posenet_data.py \ + --videos-dir /Users/amol/Desktop/LNU/LNU_Masters/intensive/all_videos \ + --out-dir /Users/amol/Desktop/LNU/LNU_Masters/intensive/second_github/Data-intensive-systems/posenet_preprocessed \ + --model lightning + + # limit to first N videos (useful for a quick test): + python3 generate_posenet_data.py ... --limit 3 +""" + +from __future__ import annotations + +import argparse +import csv +import os +import sys +import time +from pathlib import Path +from typing import List + +import cv2 +import numpy as np + +# Make the A8 pose_estimator importable (MoveNetPoseEstimator, KEYPOINT_NAMES) +A8_PATH = Path( + "/Users/amol/Desktop/LNU/LNU_Masters/intensive/github/Data-intensive-systems/A8" +) +if str(A8_PATH) not in sys.path: + sys.path.insert(0, str(A8_PATH)) + +from pose_estimator import MoveNetPoseEstimator, KEYPOINT_NAMES # noqa: E402 + + +def _load_movenet_local(model_name: str = 'lightning') -> MoveNetPoseEstimator: + """ + Build a MoveNetPoseEstimator using a locally cached Kaggle-hub SavedModel. + + tfhub.dev is deprecated and currently returns 404 for MoveNet; we fetch + the model from Kaggle Hub instead (kagglehub.model_download) and wire it + into the existing A8 estimator class. + """ + import kagglehub + import tensorflow as tf + + kaggle_handle = { + 'lightning': 'google/movenet/tensorFlow2/singlepose-lightning', + 'thunder': 'google/movenet/tensorFlow2/singlepose-thunder', + }[model_name] + model_dir = kagglehub.model_download(kaggle_handle) + + est = MoveNetPoseEstimator.__new__(MoveNetPoseEstimator) + est.model_name = model_name + est.input_size = MoveNetPoseEstimator.INPUT_SIZES[model_name] + est.model = tf.saved_model.load(model_dir) + est.movenet = est.model.signatures['serving_default'] + print(f"Loaded MoveNet '{model_name}' from {model_dir}") + return est + +# Kinect-aligned joint order (must match data_loader.KINECT_JOINTS). +KINECT_JOINTS = [ + 'head', 'left_shoulder', 'left_elbow', 'right_shoulder', 'right_elbow', + 'left_hand', 'right_hand', 'left_hip', 'right_hip', + 'left_knee', 'right_knee', 'left_foot', 'right_foot', +] + +# Kinect joint -> MoveNet COCO keypoint. +KINECT_TO_MOVENET = { + 'head': 'nose', + 'left_shoulder': 'left_shoulder', + 'right_shoulder': 'right_shoulder', + 'left_elbow': 'left_elbow', + 'right_elbow': 'right_elbow', + 'left_hand': 'left_wrist', + 'right_hand': 'right_wrist', + 'left_hip': 'left_hip', + 'right_hip': 'right_hip', + 'left_knee': 'left_knee', + 'right_knee': 'right_knee', + 'left_foot': 'left_ankle', + 'right_foot': 'right_ankle', +} + +# Pre-computed COCO indices in Kinect order. +KEYPOINT_INDEX = {name: i for i, name in enumerate(KEYPOINT_NAMES)} +COCO_IDX_IN_KINECT_ORDER = [ + KEYPOINT_INDEX[KINECT_TO_MOVENET[j]] for j in KINECT_JOINTS +] + +CSV_HEADER = ['FrameNo'] + [ + f"{j}_{axis}" for j in KINECT_JOINTS for axis in ('x', 'y') +] + + +def video_id_from_filename(video_path: Path) -> str: + """A1.avi -> A1_kinect (matches Kinect CSV base name).""" + return f"{video_path.stem}_kinect" + + +def process_video( + estimator: MoveNetPoseEstimator, + video_path: Path, + out_csv: Path, +) -> int: + cap = cv2.VideoCapture(str(video_path)) + if not cap.isOpened(): + raise RuntimeError(f"Could not open video: {video_path}") + + total_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT)) + frame_idx = 0 + written = 0 + + out_csv.parent.mkdir(parents=True, exist_ok=True) + with out_csv.open('w', newline='') as fh: + writer = csv.writer(fh) + writer.writerow(CSV_HEADER) + + while True: + ret, frame = cap.read() + if not ret: + break + + raw = estimator.detect_pose_raw(frame) # (17, 3) -> [y, x, conf] + row: List[float] = [frame_idx] + for coco_idx in COCO_IDX_IN_KINECT_ORDER: + y, x, _conf = raw[coco_idx] + row.extend([float(x), float(y)]) + writer.writerow(row) + written += 1 + frame_idx += 1 + + if frame_idx % 50 == 0: + print(f" {video_path.name}: {frame_idx}/{total_frames}", flush=True) + + cap.release() + return written + + +def main() -> None: + parser = argparse.ArgumentParser() + parser.add_argument('--videos-dir', required=True) + parser.add_argument('--out-dir', required=True) + parser.add_argument('--model', choices=['lightning', 'thunder'], default='lightning') + parser.add_argument('--limit', type=int, default=0, + help="Process only the first N videos (0 = all).") + parser.add_argument('--overwrite', action='store_true', + help="Re-generate CSVs even if they already exist.") + parser.add_argument('--pattern', default='*.avi', + help="Glob pattern to find videos (default *.avi).") + args = parser.parse_args() + + videos_dir = Path(args.videos_dir) + out_dir = Path(args.out_dir) + out_dir.mkdir(parents=True, exist_ok=True) + + videos = sorted(videos_dir.glob(args.pattern)) + if args.limit: + videos = videos[: args.limit] + if not videos: + print(f"No videos found in {videos_dir} matching {args.pattern}") + return + + print(f"Found {len(videos)} video(s). Output -> {out_dir}") + print(f"Loading MoveNet '{args.model}' ...") + estimator = _load_movenet_local(args.model) + + t0 = time.time() + total_frames = 0 + for i, v in enumerate(videos, 1): + out_csv = out_dir / f"{video_id_from_filename(v)}.csv" + if out_csv.exists() and not args.overwrite: + print(f"[{i}/{len(videos)}] skip existing {out_csv.name}") + continue + print(f"[{i}/{len(videos)}] {v.name} -> {out_csv.name}") + n = process_video(estimator, v, out_csv) + total_frames += n + + dt = time.time() - t0 + print(f"\nDone. Processed {total_frames} frames in {dt:.1f}s " + f"({total_frames / dt if dt else 0:.1f} fps)") + + +if __name__ == '__main__': + main() diff --git a/A10/train.py b/A10/train.py index db968fa94b123cfbc70f36bfc7a51f7720a68bad..14d7ad52df78e76e6b221e6485fcb0a1142e0f1d 100644 --- a/A10/train.py +++ b/A10/train.py @@ -599,6 +599,7 @@ def main(): # Paths REPO_ROOT = Path(__file__).parent.parent KINECT_PATH = REPO_ROOT / 'kinect_good_preprocessed' + POSENET_PATH = REPO_ROOT / 'posenet_preprocessed' RESULTS_DIR = Path(__file__).parent / 'cv_results' MODELS_DIR = Path(__file__).parent / 'models' @@ -611,13 +612,20 @@ def main(): print("Please ensure the kinect_good_preprocessed folder exists.") return + use_real_posenet = POSENET_PATH.exists() + # Load data print(f"\nLoading data from: {KINECT_PATH}") print("Issue #40: PoseNet 2D (26) -> Kinect 2D (26)") + if use_real_posenet: + print(f"Using REAL PoseNet inputs from: {POSENET_PATH}") + else: + print("PoseNet folder not found; falling back to simulated PoseNet " + "input (Kinect xy + noise).") sequences, file_names = load_all_paired_sequences( str(KINECT_PATH), - posenet_folder=None, # real PoseNet CSVs go here when available - simulate_posenet=True, # synthesise PoseNet input for now + posenet_folder=str(POSENET_PATH) if use_real_posenet else None, + simulate_posenet=not use_real_posenet, noise_std=0.02, ) print(f"Loaded {len(sequences)} paired sequences") diff --git a/posenet_preprocessed/A100_kinect.csv b/posenet_preprocessed/A100_kinect.csv new file mode 100644 index 0000000000000000000000000000000000000000..3648a4404e599cb906b60902de2afee231a0f91c --- /dev/null +++ b/posenet_preprocessed/A100_kinect.csv @@ -0,0 +1,224 @@ 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diff --git a/posenet_preprocessed/A128_kinect.csv b/posenet_preprocessed/A128_kinect.csv new file mode 100644 index 0000000000000000000000000000000000000000..d6bc51c94846f7558b9c2c48dba6102348df9b26 --- /dev/null +++ b/posenet_preprocessed/A128_kinect.csv @@ -0,0 +1,142 @@ +FrameNo,head_x,head_y,left_shoulder_x,left_shoulder_y,left_elbow_x,left_elbow_y,right_shoulder_x,right_shoulder_y,right_elbow_x,right_elbow_y,left_hand_x,left_hand_y,right_hand_x,right_hand_y,left_hip_x,left_hip_y,right_hip_x,right_hip_y,left_knee_x,left_knee_y,right_knee_x,right_knee_y,left_foot_x,left_foot_y,right_foot_x,right_foot_y 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diff --git a/posenet_preprocessed/A139_kinect.csv b/posenet_preprocessed/A139_kinect.csv new file mode 100644 index 0000000000000000000000000000000000000000..721588cef1ebf65e99e7da3a8b61281b933f3fdc --- /dev/null +++ b/posenet_preprocessed/A139_kinect.csv @@ -0,0 +1,256 @@ +FrameNo,head_x,head_y,left_shoulder_x,left_shoulder_y,left_elbow_x,left_elbow_y,right_shoulder_x,right_shoulder_y,right_elbow_x,right_elbow_y,left_hand_x,left_hand_y,right_hand_x,right_hand_y,left_hip_x,left_hip_y,right_hip_x,right_hip_y,left_knee_x,left_knee_y,right_knee_x,right_knee_y,left_foot_x,left_foot_y,right_foot_x,right_foot_y 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diff --git a/posenet_preprocessed/A140_kinect.csv b/posenet_preprocessed/A140_kinect.csv new file mode 100644 index 0000000000000000000000000000000000000000..89e82e7615be875e9b8a6f3c7e51640d5ba178f7 --- /dev/null +++ b/posenet_preprocessed/A140_kinect.csv @@ -0,0 +1,167 @@ +FrameNo,head_x,head_y,left_shoulder_x,left_shoulder_y,left_elbow_x,left_elbow_y,right_shoulder_x,right_shoulder_y,right_elbow_x,right_elbow_y,left_hand_x,left_hand_y,right_hand_x,right_hand_y,left_hip_x,left_hip_y,right_hip_x,right_hip_y,left_knee_x,left_knee_y,right_knee_x,right_knee_y,left_foot_x,left_foot_y,right_foot_x,right_foot_y 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diff --git a/posenet_preprocessed/A142_kinect.csv b/posenet_preprocessed/A142_kinect.csv new file mode 100644 index 0000000000000000000000000000000000000000..8322ff628f049299a99e6a6042a5ce5b30354a1f --- /dev/null +++ b/posenet_preprocessed/A142_kinect.csv @@ -0,0 +1,176 @@ +FrameNo,head_x,head_y,left_shoulder_x,left_shoulder_y,left_elbow_x,left_elbow_y,right_shoulder_x,right_shoulder_y,right_elbow_x,right_elbow_y,left_hand_x,left_hand_y,right_hand_x,right_hand_y,left_hip_x,left_hip_y,right_hip_x,right_hip_y,left_knee_x,left_knee_y,right_knee_x,right_knee_y,left_foot_x,left_foot_y,right_foot_x,right_foot_y 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diff --git a/posenet_preprocessed/A148_kinect.csv b/posenet_preprocessed/A148_kinect.csv new file mode 100644 index 0000000000000000000000000000000000000000..3e2ee95ea8c5809f9463717dcfd109e536182f8f --- /dev/null +++ b/posenet_preprocessed/A148_kinect.csv @@ -0,0 +1,174 @@ +FrameNo,head_x,head_y,left_shoulder_x,left_shoulder_y,left_elbow_x,left_elbow_y,right_shoulder_x,right_shoulder_y,right_elbow_x,right_elbow_y,left_hand_x,left_hand_y,right_hand_x,right_hand_y,left_hip_x,left_hip_y,right_hip_x,right_hip_y,left_knee_x,left_knee_y,right_knee_x,right_knee_y,left_foot_x,left_foot_y,right_foot_x,right_foot_y 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diff --git a/posenet_preprocessed/A155_kinect.csv b/posenet_preprocessed/A155_kinect.csv new file mode 100644 index 0000000000000000000000000000000000000000..d9c6516b1ad338cf1fe1e8e12e2d9fe14eedcf33 --- /dev/null +++ b/posenet_preprocessed/A155_kinect.csv @@ -0,0 +1,192 @@ +FrameNo,head_x,head_y,left_shoulder_x,left_shoulder_y,left_elbow_x,left_elbow_y,right_shoulder_x,right_shoulder_y,right_elbow_x,right_elbow_y,left_hand_x,left_hand_y,right_hand_x,right_hand_y,left_hip_x,left_hip_y,right_hip_x,right_hip_y,left_knee_x,left_knee_y,right_knee_x,right_knee_y,left_foot_x,left_foot_y,right_foot_x,right_foot_y 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diff --git a/posenet_preprocessed/A19_kinect.csv b/posenet_preprocessed/A19_kinect.csv new file mode 100644 index 0000000000000000000000000000000000000000..c10bf2607a3f27f85c5bb91c06052c119df5a12a --- /dev/null +++ b/posenet_preprocessed/A19_kinect.csv @@ -0,0 +1,198 @@ +FrameNo,head_x,head_y,left_shoulder_x,left_shoulder_y,left_elbow_x,left_elbow_y,right_shoulder_x,right_shoulder_y,right_elbow_x,right_elbow_y,left_hand_x,left_hand_y,right_hand_x,right_hand_y,left_hip_x,left_hip_y,right_hip_x,right_hip_y,left_knee_x,left_knee_y,right_knee_x,right_knee_y,left_foot_x,left_foot_y,right_foot_x,right_foot_y 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diff --git a/posenet_preprocessed/A33_kinect.csv b/posenet_preprocessed/A33_kinect.csv new file mode 100644 index 0000000000000000000000000000000000000000..161a5edbb48640d70bb826f7deb2583ec4f151c9 --- /dev/null +++ b/posenet_preprocessed/A33_kinect.csv @@ -0,0 +1,182 @@ +FrameNo,head_x,head_y,left_shoulder_x,left_shoulder_y,left_elbow_x,left_elbow_y,right_shoulder_x,right_shoulder_y,right_elbow_x,right_elbow_y,left_hand_x,left_hand_y,right_hand_x,right_hand_y,left_hip_x,left_hip_y,right_hip_x,right_hip_y,left_knee_x,left_knee_y,right_knee_x,right_knee_y,left_foot_x,left_foot_y,right_foot_x,right_foot_y 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diff --git a/posenet_preprocessed/A39_kinect.csv b/posenet_preprocessed/A39_kinect.csv new file mode 100644 index 0000000000000000000000000000000000000000..5851b2aa4e32b98c57cda760281863c360f0c06a --- /dev/null +++ b/posenet_preprocessed/A39_kinect.csv @@ -0,0 +1,168 @@ +FrameNo,head_x,head_y,left_shoulder_x,left_shoulder_y,left_elbow_x,left_elbow_y,right_shoulder_x,right_shoulder_y,right_elbow_x,right_elbow_y,left_hand_x,left_hand_y,right_hand_x,right_hand_y,left_hip_x,left_hip_y,right_hip_x,right_hip_y,left_knee_x,left_knee_y,right_knee_x,right_knee_y,left_foot_x,left_foot_y,right_foot_x,right_foot_y 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diff --git a/posenet_preprocessed/A53_kinect.csv b/posenet_preprocessed/A53_kinect.csv new file mode 100644 index 0000000000000000000000000000000000000000..3cdf652505ea0c3fc7341d249640fbaa10447b23 --- /dev/null +++ b/posenet_preprocessed/A53_kinect.csv @@ -0,0 +1,277 @@ +FrameNo,head_x,head_y,left_shoulder_x,left_shoulder_y,left_elbow_x,left_elbow_y,right_shoulder_x,right_shoulder_y,right_elbow_x,right_elbow_y,left_hand_x,left_hand_y,right_hand_x,right_hand_y,left_hip_x,left_hip_y,right_hip_x,right_hip_y,left_knee_x,left_knee_y,right_knee_x,right_knee_y,left_foot_x,left_foot_y,right_foot_x,right_foot_y 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diff --git a/posenet_preprocessed/A54_kinect.csv b/posenet_preprocessed/A54_kinect.csv new file mode 100644 index 0000000000000000000000000000000000000000..899277aa1e51c90f43beaec6bd86d4fc407d7284 --- /dev/null +++ b/posenet_preprocessed/A54_kinect.csv @@ -0,0 +1,228 @@ +FrameNo,head_x,head_y,left_shoulder_x,left_shoulder_y,left_elbow_x,left_elbow_y,right_shoulder_x,right_shoulder_y,right_elbow_x,right_elbow_y,left_hand_x,left_hand_y,right_hand_x,right_hand_y,left_hip_x,left_hip_y,right_hip_x,right_hip_y,left_knee_x,left_knee_y,right_knee_x,right_knee_y,left_foot_x,left_foot_y,right_foot_x,right_foot_y 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diff --git a/posenet_preprocessed/A65_kinect.csv b/posenet_preprocessed/A65_kinect.csv new file mode 100644 index 0000000000000000000000000000000000000000..04b47a51e9f75375ff44ec880ea5ad48121ecddb --- /dev/null +++ b/posenet_preprocessed/A65_kinect.csv @@ -0,0 +1,194 @@ +FrameNo,head_x,head_y,left_shoulder_x,left_shoulder_y,left_elbow_x,left_elbow_y,right_shoulder_x,right_shoulder_y,right_elbow_x,right_elbow_y,left_hand_x,left_hand_y,right_hand_x,right_hand_y,left_hip_x,left_hip_y,right_hip_x,right_hip_y,left_knee_x,left_knee_y,right_knee_x,right_knee_y,left_foot_x,left_foot_y,right_foot_x,right_foot_y 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diff --git a/posenet_preprocessed/A88_kinect.csv b/posenet_preprocessed/A88_kinect.csv new file mode 100644 index 0000000000000000000000000000000000000000..08c9f12e88836b34181c35a767d5edb80d297b9a --- /dev/null +++ b/posenet_preprocessed/A88_kinect.csv @@ -0,0 +1,260 @@ +FrameNo,head_x,head_y,left_shoulder_x,left_shoulder_y,left_elbow_x,left_elbow_y,right_shoulder_x,right_shoulder_y,right_elbow_x,right_elbow_y,left_hand_x,left_hand_y,right_hand_x,right_hand_y,left_hip_x,left_hip_y,right_hip_x,right_hip_y,left_knee_x,left_knee_y,right_knee_x,right_knee_y,left_foot_x,left_foot_y,right_foot_x,right_foot_y 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diff --git a/posenet_preprocessed/A94_kinect.csv b/posenet_preprocessed/A94_kinect.csv new file mode 100644 index 0000000000000000000000000000000000000000..13e5182c948e0d8f17f153c2cc3c5ad6f389cb63 --- /dev/null +++ b/posenet_preprocessed/A94_kinect.csv @@ -0,0 +1,321 @@ +FrameNo,head_x,head_y,left_shoulder_x,left_shoulder_y,left_elbow_x,left_elbow_y,right_shoulder_x,right_shoulder_y,right_elbow_x,right_elbow_y,left_hand_x,left_hand_y,right_hand_x,right_hand_y,left_hip_x,left_hip_y,right_hip_x,right_hip_y,left_knee_x,left_knee_y,right_knee_x,right_knee_y,left_foot_x,left_foot_y,right_foot_x,right_foot_y 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diff --git a/posenet_preprocessed/B17_kinect.csv b/posenet_preprocessed/B17_kinect.csv new file mode 100644 index 0000000000000000000000000000000000000000..e164766db11c4ed2d3e78d9a74ecb9b5b5593bef --- /dev/null +++ b/posenet_preprocessed/B17_kinect.csv @@ -0,0 +1,272 @@ +FrameNo,head_x,head_y,left_shoulder_x,left_shoulder_y,left_elbow_x,left_elbow_y,right_shoulder_x,right_shoulder_y,right_elbow_x,right_elbow_y,left_hand_x,left_hand_y,right_hand_x,right_hand_y,left_hip_x,left_hip_y,right_hip_x,right_hip_y,left_knee_x,left_knee_y,right_knee_x,right_knee_y,left_foot_x,left_foot_y,right_foot_x,right_foot_y 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diff --git a/requirements.txt b/requirements.txt index 1de35657e55421b30774c60767bcc1ccfc4b6178..9e1a8ad49fa0807664b8af738f94b119ff3e9273 100644 --- a/requirements.txt +++ b/requirements.txt @@ -16,3 +16,4 @@ setuptools==68.1.2 pytest==8.3.4 pytest-cov==6.0.0 +kagglehub==1.0.0