From 92238c01e65f039b9d0012e52f4e071ff8c11e40 Mon Sep 17 00:00:00 2001
From: Anton Kullberg <anton.kullberg@liu.se>
Date: Fri, 12 Nov 2021 12:04:15 +0100
Subject: [PATCH] py: removed tqdm from IMM/Basic tracker
---
src/trackers.py | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/src/trackers.py b/src/trackers.py
index a13b359..07a8960 100644
--- a/src/trackers.py
+++ b/src/trackers.py
@@ -52,7 +52,7 @@ class BasicTracker():
numpy.ndarray (nx x nx x K)
State error covariance per time.
"""
- for k, meas_k in tqdm.tqdm(enumerate(Y), desc="Evaluating measurements: ", total=len(Y)):
+ for k, meas_k in enumerate(Y):
# Calculate prediction error of each measurement
yhat = self.filt.sensor_model['h'](x[:2, k])
eps = meas_k-yhat[:, None]
@@ -116,7 +116,7 @@ class IMMTracker():
"""
xm = np.repeat(np.expand_dims(x, -1), self.filt.nmodes, axis=-1)
Pm = np.repeat(np.expand_dims(P, -1), self.filt.nmodes, axis=-1)
- for k, meas_k in tqdm.tqdm(enumerate(Y), desc="IMM evaluating measurements: ", total=len(Y)):
+ for k, meas_k in enumerate(Y):
# Get the mixed estimate
xhat, Phat = self.filt.mix(xm[:, k, :], Pm[:, :, k, :])
# Calculate prediction error of each measurement
--
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