run poetry lock and replace prints with logger.infos

imgcorrect/corrections.py

@@ -209,13 +209,13 @@ def get_corrections(
     image_df = io.apply_sensor_settings(image_df)
 
     # Get autoexposure correction:
-    print("Getting autoexposure")
+    logger.info("Getting autoexposure")
     image_df["autoexposure"] = image_df.progress_apply(
         lambda row: imgparse.get_autoexposure(row.image_path, row.EXIF) / 100, axis=1
     )
 
     # Get and sort by timestamp
-    print("Getting timestamps")
+    logger.info("Getting timestamps")
 
     def _get_timestamp(exif):
         return datetime.strptime(
@@ -226,7 +226,7 @@ def _get_timestamp(exif):
     image_df = image_df.set_index("timestamp", drop=False).sort_index()
 
     # Attempt to parse ILS metadata
-    print("Getting ILS")
+    logger.info("Getting ILS")
     try:
 
         def _get_ils(row):
@@ -242,12 +242,12 @@ def _get_ils(row):
 
     # Split out calibration images, if present:
     if not no_reflectance_correct:
-        print("Creating calibration dataframe")
+        logger.info("Creating calibration dataframe")
         calibration_df, image_df = io.create_cal_df(image_df, calibration_id)
 
     # Get ILS correction:
     if not no_ils_correct:
-        print("Computing ILS correction")
+        logger.info("Computing ILS correction")
         image_df = compute_ils_correction(image_df)
     else:
         image_df["ILS_ratio"] = 1
@@ -256,7 +256,7 @@ def _get_ils(row):
     calibration_sets = None
     selected_group_id = None
     if not no_reflectance_correct:
-        print("Computing reflectance correction")
+        logger.info("Computing reflectance correction")
         image_df, calibration_sets, selected_group_id = compute_reflectance_correction(
             image_df, calibration_df, not no_ils_correct
         )

imgcorrect/io.py

@@ -79,7 +79,7 @@ def apply_sensor_settings(image_df):
     v = new_image_df.ID.value_counts()
     # remove images that don't appear in every band
     new_image_df = new_image_df[new_image_df.ID.isin(v.index[v.eq(band_count)])]
-    print(
+    logger.info(
         f"Skipping {images_before_filtering - len(new_image_df.index)} images because they don't have data for all bands"
     )