add gif in readme

README.md

@@ -76,7 +76,7 @@ The following parameters can be configured in the `config/config_hydra.yaml` fil
 
 Using DTW on ItalyPowerDemand dataset
 
-- In video format: [dtw-italy](exps/dtw-vis/ItalyPowerDemand/dtw.mp4)
+- In video format [download-here](exps/dtw-vis/ItalyPowerDemand/dtw.mp4): ![dtw-italy](exps/dtw-vis/ItalyPowerDemand/dtw.gif)
 - In pdf format: [dtw-italy-pdf](exps/dtw-vis/ItalyPowerDemand/dtw.pdf)
 
 ## Citation

draw_functions.py

@@ -189,127 +189,6 @@ def draw_elastic(
     fig.savefig(os.path.join(output_dir, metric + ".pdf"), bbox_inches="tight")
 
 
-# def draw_elastic(
-#     x: np.ndarray,
-#     y: np.ndarray,
-#     channel_used: int = 0,
-#     output_dir: str = "./",
-#     figsize: Tuple[int, int] = None,
-#     metric: str = "dtw",
-#     metric_params: dict = None,
-#     show_warping_connections: bool = False,
-# ):
-
-#     if int(x.shape[0]) == 1:
-#         channel_used = 0
-
-#     figsize = (10, 10) if figsize is not None else figsize
-
-#     reach = metric_params["reach"]
-
-#     if metric != "shape_dtw":
-#         reach = 0
-
-#     _x = np.copy(x)
-#     _y = np.copy(y)
-
-#     x = np.pad(x, pad_width=[[0,0],[reach, reach]], mode="edge")
-#     y = np.pad(y, pad_width=[[0,0],[reach, reach]], mode="edge")
-
-#     _cost_matrix = cost_matrix(x=_x, y=_y, metric=metric,**metric_params)
-#     optimal_path = compute_min_return_path(cost_matrix=_cost_matrix)
-#     path_dtw_x, path_dtw_y = alignment_path_to_plot(path_dtw=optimal_path)
-
-#     fig = plt.figure(figsize=figsize)
-
-#     ax_x = fig.add_axes([0.1, 0.1, 0.2, 0.5])
-#     ax_y = fig.add_axes([0.1 + 0.25, 0.65, 0.5, 0.17])
-#     ax_matrix = fig.add_axes([0.1 + 0.25, 0.1, 0.5, 0.5])
-#     ax_cbar = fig.add_axes([0.1 + 0.25 + 0.37, 0.1, 0.2, 0.5])
-
-#     ax_x.plot(
-#         -x[channel_used,reach : len(x[channel_used]) - reach][::-1],
-#         np.arange(reach, len(x[channel_used]) - reach),
-#         lw=4,
-#         color="blue",
-#     )
-#     if reach > 0:
-#         ax_x.plot(-x[channel_used,::-1][channel_used,:reach], np.arange(reach), lw=4, color="green")
-#         ax_x.plot(
-#             -x[channel_used,::-1][len(x[channel_used]) - reach :],
-#             np.arange(len(x[channel_used]) - reach, len(x[channel_used])),
-#             lw=4,
-#             color="green",
-#         )
-
-#     ax_y.plot(
-#         np.arange(reach, len(y[channel_used]) - reach), y[channel_used,reach : len(y[channel_used]) - reach], lw=4, color="red"
-#     )
-#     if reach > 0:
-#         ax_y.plot(np.arange(reach), y[channel_used,:reach], lw=4, color="green")
-#         ax_y.plot(
-#             np.arange(len(y[channel_used]) - reach, len(y[channel_used])), y[channel_used,len(y[channel_used]) - reach :], lw=4, color="green"
-#         )
-
-#     ax_x.arrow(
-#         x=-np.max(x[channel_used]) - 0.5,
-#         y=len(x[channel_used]) - 1,
-#         dx=0,
-#         dy=-len(x[channel_used]) - 1,
-#         head_width=0.1,
-#         color="gray",
-#     )
-#     ax_x.text(x=-np.max(x[channel_used]) - 0.7, y=0, s="time", rotation="vertical")
-
-#     ax_y.arrow(
-#         x=0, y=np.max(y[channel_used]) + 0.5, dx=len(y[channel_used]) - 1, dy=0, head_width=0.1, color="gray"
-#     )
-#     ax_y.text(x=len(y[channel_used]) - 1, y=np.max(y[channel_used]) + 0.7, s="time", rotation="horizontal")
-
-#     im = ax_matrix.imshow(_cost_matrix, aspect="equal", cmap="cool", alpha=0.6)
-#     cbar = ax_cbar.figure.colorbar(im, ax=ax_cbar)
-#     cbar.set_label(label="Cost Matrix", size=15)
-
-#     ax_matrix.plot(path_dtw_y, path_dtw_x, color="black", lw=4)
-
-#     if show_warping_connections:
-#         for pair in optimal_path:
-
-#             i, j = pair[0], pair[1]
-#             i_mid, j_mid = i + reach, j + reach
-
-#             con_x = ConnectionPatch(
-#                 (-x[channel_used,::-1][channel_used,len(x[channel_used]) - 1 - i_mid], len(x[channel_used]) - 1 - i_mid),
-#                 (j, i),
-#                 "data",
-#                 "data",
-#                 axesA=ax_x,
-#                 axesB=ax_matrix,
-#                 color="orange",
-#                 linewidth=1,
-#             )
-
-#             con_y = ConnectionPatch(
-#                 (j_mid, y[channel_used,j_mid]),
-#                 (j, i),
-#                 "data",
-#                 "data",
-#                 axesA=ax_y,
-#                 axesB=ax_matrix,
-#                 color="orange",
-#                 linewidth=1,
-#             )
-
-#             ax_matrix.add_artist(con_x)
-#             ax_matrix.add_artist(con_y)
-
-#     ax_x.axis("OFF")
-#     ax_y.axis("OFF")
-#     ax_cbar.axis("OFF")
-
-#     fig.savefig(os.path.join(output_dir, metric + ".pdf"), bbox_inches="tight")
-
-
 def draw_elastic_gif(
     x: np.ndarray,
     y: np.ndarray,