improve visulization

eqnet/utils/visualization.py

@@ -398,7 +398,7 @@ def plot_phasenet_plus(
             fig, axes = plt.subplots(9, 1, figsize=(10, 10))
             t = pd.date_range(pd.Timestamp(begin_time[i]), periods=nt, freq=pd.Timedelta(seconds=dt))
             for j in range(3):
-                axes[j].plot(t, meta["raw_data"][i, j, :, 0], linewidth=0.5, color="k", label=f"{chn_name[j]}")
+                axes[j].plot(t, meta["raw_data"][i, j, :, 0], lw=0.5, color="k", label=f"{chn_name[j]}")
                 axes[j].set_xlim(t[0], t[-1])
                 axes[j].set_xticklabels([])
                 axes[j].grid("on")
@@ -409,21 +409,23 @@ def plot_phasenet_plus(
 
         for j in range(3):
             t = pd.date_range(pd.Timestamp(begin_time[i]), periods=nt, freq=pd.Timedelta(seconds=dt))
-            axes[j + shift].plot(t, meta["data"][i, j, :, 0], linewidth=0.5, color="k", label=f"{chn_name[j]}")
+            axes[j + shift].plot(t, meta["data"][i, j, :, 0], lw=0.5, color="k", label=f"{chn_name[j]}")
             axes[j + shift].set_xlim(t[0], t[-1])
             axes[j + shift].set_xticklabels([])
             axes[j + shift].grid("on")
             axes[j + shift].legend(loc="upper right")
 
         k = 3 + shift
         t = pd.date_range(pd.Timestamp(begin_time[i]), periods=nt, freq=pd.Timedelta(seconds=dt))
-        axes[k].plot(t, phase[i, 1, :, 0], "b", label="P-phase")
-        axes[k].plot(t, phase[i, 2, :, 0], "r", label="S-phase")
+        axes[k].plot(t, phase[i, 2, :, 0], "r", lw=1.0)
+        axes[k].plot(t, phase[i, 1, :, 0], "b", lw=1.0)
         color = {"P": "b", "S": "r"}
         for ii, pick in enumerate(phase_picks[i]):
             tt = pd.to_datetime(pick["phase_time"])
-            axes[k].plot([tt, tt], [-0.05, 1.05], f"--{color[pick['phase_type']]}", linewidth=0.5)
+            axes[k].plot([tt, tt], [-0.05, 1.05], f"--{color[pick['phase_type']]}", linewidth=0.8)
 
+        axes[k].plot([], [], "-b", label="P-phase")
+        axes[k].plot([], [], "-r", label="S-phase")
         axes[k].set_xlim(t[0], t[-1])
         axes[k].set_ylim(-0.05, 1.05)
         axes[k].set_xticklabels([])
@@ -432,7 +434,20 @@ def plot_phasenet_plus(
 
         t = pd.date_range(pd.Timestamp(begin_time[i]), periods=nt_polarity, freq=pd.Timedelta(seconds=dt_polarity))
         # axes[k + 1].plot(t, (polarity[i, 0, :, 0] - 0.5) * 2.0, "b", label="polarity")
-        axes[k + 1].plot(t, polarity[i, 1, :, 0] - polarity[i, 2, :, 0], "b", label="Polarity")
+        # axes[k + 1].plot(t, polarity[i, 1, :, 0] - polarity[i, 2, :, 0], "b", label="Polarity")
+        for ii, pick in enumerate(phase_picks[i]):
+            tt = pd.to_datetime(pick["phase_time"])
+            amp = pick["phase_polarity"]
+            if abs(amp) > 0.15:
+                axes[k + 1].annotate(
+                    "",
+                    xy=(tt, -0.03 * np.sign(amp)),
+                    xytext=(tt, amp),
+                    arrowprops=dict(arrowstyle="<-", color=f"{color[pick['phase_type']]}", lw=1.5),
+                )
+        axes[k + 1].plot([], [], "-b", label="P-polarity")
+        axes[k + 1].plot([], [], "-r", label="S-polarity")
+        axes[k + 1].plot([t[0], t[-1]], [0.0, 0.0], "-", color="blue", lw=1.0)
         axes[k + 1].set_xlim(t[0], t[-1])
         axes[k + 1].set_ylim(-1.05, 1.05)
         axes[k + 1].set_xticklabels([])
@@ -458,8 +473,8 @@ def plot_phasenet_plus(
             axes[k + 2].plot([at, at], [-0.05, 1.05], "--C0", linewidth=2.0)
             axes[k + 2].annotate(
                 "",
-                xy=(at, 0.3),
-                xytext=(ot, 0.3),
+                xy=(max(t[0], at), 0.3),
+                xytext=(max(t[0], ot), 0.3),
                 arrowprops=dict(arrowstyle="<-", color="C1", lw=2),
             )
         axes[k + 2].plot([], [], "--C3", label="Origin time")

predict.py

@@ -415,7 +415,6 @@ def main(args):
                 model_url = "https://github.com/AI4EPS/models/releases/download/PhaseNet-Plus-LCSN/model_99.pth"
         elif args.model == "phasenet_das":
             if args.location is None:
-                # model_url = "ai4eps/model-registry/PhaseNet-DAS:latest"
                 # model_url = "https://github.com/AI4EPS/models/releases/download/PhaseNet-DAS-v0/PhaseNet-DAS-v0.pth"
                 model_url = "https://github.com/AI4EPS/models/releases/download/PhaseNet-DAS-v1/PhaseNet-DAS-v1.pth"
             elif args.location == "forge":