From 002c88c3d16c6fe12eecd12abb573187be342a5e Mon Sep 17 00:00:00 2001 From: VICTOR MAZANOV Date: Sun, 12 Oct 2025 16:53:29 +0300 Subject: [PATCH 1/3] feat: added visual validation of skeletons with COCO format --- experiments/skeleton_augmentation.ipynb | 408 +++++++++++++++++++++++- 1 file changed, 407 insertions(+), 1 deletion(-) diff --git a/experiments/skeleton_augmentation.ipynb b/experiments/skeleton_augmentation.ipynb index 8a5a82b..2c5901c 100644 --- a/experiments/skeleton_augmentation.ipynb +++ b/experiments/skeleton_augmentation.ipynb @@ -10,7 +10,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "ac60d828", "metadata": {}, "outputs": [], @@ -456,6 +456,412 @@ "print(data1[0]) \n", "print(data1[0, 0])" ] + }, + { + "cell_type": "markdown", + "id": "6caacebc", + "metadata": {}, + "source": [ + "### Visualization utilities (COCO-like skeleton)\n", + "\n", + "This section defines COCO-style edges and plotting helpers to visualize skeletons and compare original vs augmented coordinates.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "c1ba9221", + "metadata": {}, + "outputs": [], + "source": [ + "# COCO-like edges for 17 joints (matching many YOLO/COCO keypoint orders)\n", + "COCO_EDGES = [\n", + " (0, 1), (1, 3), # nose -> eyes/ears (approx)\n", + " (0, 2), (2, 4),\n", + " (5, 6), (5, 7), (7, 9), # left shoulder->elbow->wrist\n", + " (6, 8), (8, 10), # right shoulder->elbow->wrist\n", + " (5, 11), (6, 12), # shoulders to hips\n", + " (11, 12), # hip connection\n", + " (11, 13), (13, 15), # left hip->knee->ankle\n", + " (12, 14), (14, 16), # right hip->knee->ankle\n", + "]\n", + "\n", + "import matplotlib.pyplot as plt\n", + "\n", + "\n", + "def plot_skeleton(ax, xy: np.ndarray, img_w: int, img_h: int, color: str = \"tab:blue\", alpha: float = 0.9, linewidth: float = 2.0):\n", + " ax.set_xlim(0, img_w - 1)\n", + " ax.set_ylim(img_h - 1, 0)\n", + " ax.set_aspect('equal')\n", + " ax.scatter(xy[:, 0], xy[:, 1], c=color, s=12, alpha=alpha)\n", + " for i, j in COCO_EDGES:\n", + " if i < xy.shape[0] and j < xy.shape[0]:\n", + " x1, y1 = xy[i]\n", + " x2, y2 = xy[j]\n", + " ax.plot([x1, x2], [y1, y2], color=color, alpha=alpha, linewidth=linewidth)\n", + "\n", + "\n", + "def show_compare_frame(orig_xy: np.ndarray, aug_xy: np.ndarray, img_w: int, img_h: int, title: str = \"Comparison (orig vs aug)\"):\n", + " fig, axes = plt.subplots(1, 2, figsize=(9, 4))\n", + " axes[0].set_title(\"Original\")\n", + " plot_skeleton(axes[0], orig_xy, img_w, img_h, color=\"tab:blue\")\n", + " axes[1].set_title(\"Augmented\")\n", + " plot_skeleton(axes[1], aug_xy, img_w, img_h, color=\"tab:orange\")\n", + " fig.suptitle(title)\n", + " plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "id": "a6e94eb9", + "metadata": {}, + "source": [ + "### Compare original vs augmented skeletons\n", + "\n", + "Pick a sample `.npy` from `data/skeletons`, load one augmented variant from `data/augmented_skeletons_test`, and visualize a chosen frame side-by-side using COCO-like edges.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "7e60b4b4", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Demo: visualize first frame of original vs augmented (flip) for first file\n", + "BASE_DIR = Path.cwd().parent\n", + "sk_dir = Path(BASE_DIR / \"data/skeletons\")\n", + "aug_dir = Path(BASE_DIR / \"data/augmented_skeletons_test\")\n", + "\n", + "orig_path = sorted(sk_dir.glob(\"*.npy\"))[0]\n", + "aug_path = next(aug_dir.glob(f\"{orig_path.stem}_flip.npy\"))\n", + "\n", + "orig = np.load(orig_path) # (T, J, 2|3)\n", + "aug = np.load(aug_path)\n", + "\n", + "# choose frame index\n", + "frame_idx = 0\n", + "\n", + "# extract xy (ignore confidence if present)\n", + "orig_xy = orig[frame_idx, :, :2].astype(np.float32)\n", + "aug_xy = aug[frame_idx, :, :2].astype(np.float32)\n", + "\n", + "IMG_W, IMG_H = 640, 360\n", + "show_compare_frame(orig_xy, aug_xy, IMG_W, IMG_H, title=f\"{orig_path.stem} - frame {frame_idx}\")\n" + ] + }, + { + "cell_type": "markdown", + "id": "289039b5", + "metadata": {}, + "source": [ + "### Visualize all augmentations (grid)\n", + "\n", + "Show original and all augmented variants side-by-side for quick visual comparison on the same frame index.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "622bff53", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Grid viz: original + all augmentations for one file\n", + "BASE_DIR = Path.cwd().parent\n", + "sk_dir = Path(BASE_DIR / \"data/skeletons\")\n", + "aug_dir = Path(BASE_DIR / \"data/augmented_skeletons_test\")\n", + "IMG_W, IMG_H = 640, 360\n", + "\n", + "orig_path = sorted(sk_dir.glob(\"*.npy\"))[0]\n", + "orig = np.load(orig_path)\n", + "\n", + "variants = [(\"orig\", orig)]\n", + "for suf in [\"flip\", \"rot10\", \"scale110\", \"trans_5_-3\", \"jitter\", \"tcrop\", \"tresamp6\"]:\n", + " cand = list(aug_dir.glob(f\"{orig_path.stem}_{suf}.npy\"))\n", + " if cand:\n", + " variants.append((suf, np.load(cand[0])))\n", + " else:\n", + " print(\"Missing:\", suf)\n", + "\n", + "# choose frame index\n", + "frame_idx = 0\n", + "\n", + "cols = 4\n", + "rows = int(np.ceil(len(variants) / cols))\n", + "fig, axes = plt.subplots(rows, cols, figsize=(cols * 4, rows * 3))\n", + "axes = np.array(axes).reshape(rows, cols)\n", + "\n", + "for idx, (name, arr) in enumerate(variants):\n", + " r, c = divmod(idx, cols)\n", + " ax = axes[r, c]\n", + " xy = arr[min(frame_idx, arr.shape[0] - 1), :, :2].astype(np.float32)\n", + " plot_skeleton(ax, xy, IMG_W, IMG_H, color=(\"tab:blue\" if name == \"orig\" else \"tab:orange\"))\n", + " ax.set_title(name)\n", + "\n", + "# hide any empty axes\n", + "for k in range(len(variants), rows * cols):\n", + " r, c = divmod(k, cols)\n", + " axes[r, c].axis(\"off\")\n", + "\n", + "fig.suptitle(f\"All augmentations for {orig_path.stem} (frame {frame_idx})\")\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "id": "3afa8f03", + "metadata": {}, + "source": [ + "### Visualize all augmentations (grid) for 3 files\n", + "\n", + "Render a 2x4 grid (orig + 7 augs) for each of the three selected skeleton files.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "a614290f", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Grid viz for three files: original + 7 augmentations each\n", + "BASE_DIR = Path.cwd().parent\n", + "sk_dir = Path(BASE_DIR / \"data/skeletons\")\n", + "aug_dir = Path(BASE_DIR / \"data/augmented_skeletons_test\")\n", + "IMG_W, IMG_H = 640, 360\n", + "\n", + "# Pick three files (same three as in the test cell)\n", + "three_files = [\n", + " Path(sk_dir / \"0b3c6ea5f943fbc80b9c6d20373cc3bf.npy\"),\n", + " Path(sk_dir / \"0b4dd5fa651633b90bb7e4a455caaf4c.npy\"),\n", + " Path(sk_dir / \"0b9d78bb7ad1f347ed0a6af7262da572.npy\"),\n", + "]\n", + "\n", + "suffixes = [\"flip\", \"rot10\", \"scale110\", \"trans_5_-3\", \"jitter\", \"tcrop\", \"tresamp6\"]\n", + "frame_idx = 0\n", + "\n", + "for npy_path in three_files:\n", + " if not npy_path.exists():\n", + " print(\"Skip missing:\", npy_path)\n", + " continue\n", + " orig = np.load(npy_path)\n", + " variants = [(\"orig\", orig)]\n", + " for suf in suffixes:\n", + " cand = list(aug_dir.glob(f\"{npy_path.stem}_{suf}.npy\"))\n", + " if cand:\n", + " variants.append((suf, np.load(cand[0])))\n", + " else:\n", + " print(\"Missing:\", npy_path.stem, suf)\n", + "\n", + " cols = 4\n", + " rows = int(np.ceil(len(variants) / cols))\n", + " fig, axes = plt.subplots(rows, cols, figsize=(cols * 4, rows * 3))\n", + " axes = np.array(axes).reshape(rows, cols)\n", + "\n", + " for idx, (name, arr) in enumerate(variants):\n", + " r, c = divmod(idx, cols)\n", + " ax = axes[r, c]\n", + " # guard if temporal size differs\n", + " t = min(frame_idx, arr.shape[0] - 1)\n", + " xy = arr[t, :, :2].astype(np.float32)\n", + " plot_skeleton(ax, xy, IMG_W, IMG_H, color=(\"tab:blue\" if name == \"orig\" else \"tab:orange\"))\n", + " ax.set_title(name)\n", + "\n", + " # hide any empty axes\n", + " for k in range(len(variants), rows * cols):\n", + " r, c = divmod(k, cols)\n", + " axes[r, c].axis(\"off\")\n", + "\n", + " fig.suptitle(f\"All augmentations for {npy_path.stem} (frame {frame_idx})\")\n", + " plt.tight_layout()\n", + " plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "id": "47e2c580", + "metadata": {}, + "source": [ + "### Expected differences per augmentation\n", + "\n", + "- Rotate (rot10): joint-to-joint distances stay the same; distances to image center rotate (angles change), bounding box rotates; centroid rotates around center.\n", + "- Scale (scale110): all distances (bones, centroid-to-center) scale by ~1.1; shape preserved; centroid moves away/toward center.\n", + "- Translate (trans_5_-3): bones unchanged; all x/y shift by ~(+5,-3); centroid shifts by same delta.\n", + "- Jitter (jitter): bones almost unchanged (very small noise); points slightly perturbed randomly.\n", + "- Flip (flip): horizontal mirror: x' ≈ (W-1) - x, y' ≈ y; bones preserved; left/right swap visually.\n", + "- Temporal crop (tcrop): fewer frames (T' < T), contiguous subsequence; per-frame coords identical to that segment.\n", + "- Temporal resample (tresamp6): exactly 6 frames; frames sampled along the original timeline (nearest-index sampling).\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "cf207d65", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "flip: \n", + " mean |x - (W-1-x_orig)| ≈ 0.00\n", + " bones ΔL mean ≈ 0.00\n", + "rot10: \n", + " bones ΔL mean ≈ 0.00 (≈ 0)\n", + " centroid moved |Δ| ≈ 25.65\n", + "scale110: \n", + " estimated scale ≈ 1.10 (target 1.10)\n", + "trans_5_-3: \n", + " mean Δ ≈ [ 5. -3.] (target [+5, -3])\n", + "jitter: \n", + " mean per-joint |Δ| ≈ 1.74 (small)\n", + "tcrop: \n", + " temporal only; per-frame coords from subset/resample\n", + "tresamp6: \n", + " temporal only; per-frame coords from subset/resample\n", + "Done.\n" + ] + } + ], + "source": [ + "# Quantitative comparison: original vs all augmented variants for one file\n", + "BASE_DIR = Path.cwd().parent\n", + "sk_dir = Path(BASE_DIR / \"data/skeletons\")\n", + "aug_dir = Path(BASE_DIR / \"data/augmented_skeletons_test\")\n", + "IMG_W, IMG_H = 640, 360\n", + "\n", + "orig_path = sorted(sk_dir.glob(\"*.npy\"))[0]\n", + "orig = np.load(orig_path)\n", + "T0, J0, C0 = orig.shape\n", + "\n", + "suffixes = [\"flip\", \"rot10\", \"scale110\", \"trans_5_-3\", \"jitter\", \"tcrop\", \"tresamp6\"]\n", + "\n", + "# helper metrics\n", + "\n", + "def centroid(xy: np.ndarray) -> np.ndarray:\n", + " return xy.mean(axis=0)\n", + "\n", + "\n", + "def bone_lengths(xy: np.ndarray) -> np.ndarray:\n", + " # simple all-pairs distance as a proxy; or pick COCO_EDGES only\n", + " dists = []\n", + " for (i, j) in COCO_EDGES:\n", + " if i < xy.shape[0] and j < xy.shape[0]:\n", + " d = np.linalg.norm(xy[i] - xy[j])\n", + " dists.append(d)\n", + " return np.array(dists, dtype=np.float32)\n", + "\n", + "\n", + "frame_idx = 0\n", + "orig_xy = orig[frame_idx, :, :2].astype(np.float32)\n", + "orig_cent = centroid(orig_xy)\n", + "orig_bones = bone_lengths(orig_xy)\n", + "\n", + "for suf in suffixes:\n", + " cand = list(aug_dir.glob(f\"{orig_path.stem}_{suf}.npy\"))\n", + " if not cand:\n", + " print(f\"Missing augmented: {suf}\")\n", + " continue\n", + " aug = np.load(cand[0])\n", + "\n", + " # time checks\n", + " if suf == \"tcrop\":\n", + " assert aug.shape[0] < T0, \"tcrop: expected fewer frames\"\n", + " elif suf == \"tresamp6\":\n", + " assert aug.shape[0] == 6, \"tresamp6: expected 6 frames\"\n", + " else:\n", + " assert aug.shape[0] == T0, f\"{suf}: expected same T\"\n", + "\n", + " aug_xy = aug[min(frame_idx, aug.shape[0]-1), :, :2].astype(np.float32)\n", + "\n", + " # metrics\n", + " cent = centroid(aug_xy)\n", + " bones = bone_lengths(aug_xy)\n", + "\n", + " # expectations\n", + " txt = []\n", + " if suf == \"flip\":\n", + " # x mirrored\n", + " mirrored = (IMG_W - 1) - orig_xy[:, 0]\n", + " mean_x_diff = np.mean(np.abs(aug_xy[:, 0] - mirrored))\n", + " txt.append(f\"mean |x - (W-1-x_orig)| ≈ {mean_x_diff:.2f}\")\n", + " txt.append(f\"bones ΔL mean ≈ {np.mean(np.abs(bones - orig_bones)):.2f}\")\n", + " elif suf == \"rot10\":\n", + " txt.append(f\"bones ΔL mean ≈ {np.mean(np.abs(bones - orig_bones)):.2f} (≈ 0)\")\n", + " txt.append(f\"centroid moved |Δ| ≈ {np.linalg.norm(cent - orig_cent):.2f}\")\n", + " elif suf == \"scale110\":\n", + " # estimate scale from centroid-to-joints distance ratio\n", + " s_est = np.mean(np.linalg.norm(aug_xy - cent, axis=1) / (np.linalg.norm(orig_xy - orig_cent, axis=1) + 1e-6))\n", + " txt.append(f\"estimated scale ≈ {s_est:.2f} (target 1.10)\")\n", + " elif suf == \"trans_5_-3\":\n", + " d = np.mean(aug_xy - orig_xy, axis=0)\n", + " txt.append(f\"mean Δ ≈ {d} (target [+5, -3])\")\n", + " elif suf == \"jitter\":\n", + " txt.append(f\"mean per-joint |Δ| ≈ {np.mean(np.linalg.norm(aug_xy - orig_xy, axis=1)):.2f} (small)\")\n", + " elif suf in (\"tcrop\", \"tresamp6\"):\n", + " txt.append(f\"temporal only; per-frame coords from subset/resample\")\n", + "\n", + " print(f\"{suf}: \")\n", + " for line in txt:\n", + " print(\" \", line)\n", + "\n", + "print(\"Done.\")\n" + ] } ], "metadata": { From f96675b90dd02fcdc163f41e2b27739b4ef65c57 Mon Sep 17 00:00:00 2001 From: VICTOR MAZANOV Date: Sun, 12 Oct 2025 16:56:06 +0300 Subject: [PATCH 2/3] feat: added visual validation of augmentation of skeletons with COCO format --- experiments/skeleton_augmentation.ipynb | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/experiments/skeleton_augmentation.ipynb b/experiments/skeleton_augmentation.ipynb index 2c5901c..b6fefcb 100644 --- a/experiments/skeleton_augmentation.ipynb +++ b/experiments/skeleton_augmentation.ipynb @@ -573,7 +573,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "id": "622bff53", "metadata": {}, "outputs": [ @@ -628,7 +628,8 @@ "\n", "fig.suptitle(f\"All augmentations for {orig_path.stem} (frame {frame_idx})\")\n", "plt.tight_layout()\n", - "plt.show()\n" + "plt.show()\n", + "\n" ] }, { From 067fbb8c7c308b0d6cb0543c725f8f32c72328b4 Mon Sep 17 00:00:00 2001 From: VICTOR MAZANOV Date: Sun, 12 Oct 2025 16:56:56 +0300 Subject: [PATCH 3/3] feat: added visual validation of skeletons augmentation with COCO format --- experiments/skeleton_augmentation.ipynb | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/experiments/skeleton_augmentation.ipynb b/experiments/skeleton_augmentation.ipynb index b6fefcb..2bb2299 100644 --- a/experiments/skeleton_augmentation.ipynb +++ b/experiments/skeleton_augmentation.ipynb @@ -628,8 +628,7 @@ "\n", "fig.suptitle(f\"All augmentations for {orig_path.stem} (frame {frame_idx})\")\n", "plt.tight_layout()\n", - "plt.show()\n", - "\n" + "plt.show()\n" ] }, {