Merge pull request #28 from CentroFuturoCiudades/main

changes

Author: DanielBustillos

.DS_Store

@@ -1,5 +1,6 @@
 # big size files
 
+*.csv
 *.pt
 *.mp4
 !docs/*
@@ -8,3 +9,5 @@
 *__pycache__
 *.log
 *.pyc
+*.png
+

.gitignore

@@ -1,10 +1,16 @@
 
-## Deploy APIs
+## Despliegue de servicios en servidor con GPU
 
+* Clona repositorio y descargar pesos
 ```bash
-docker compose down
+git clone https://github.com/CentroFuturoCiudades/traffic-conflicts-analysis.git
+cd traffic-conflicts-analysis/src/TTC-API/
+wget https://tca-itdp-tec-prod.s3.amazonaws.com/weights.zip
+unzip weights.zip
 ```
-
+* Construir y levantar servicios
 ```bash
+cd ..
+docker compose down
 docker compose up -d --build
 ```

src/.DS_Store

@@ -75,6 +75,7 @@ def smooth_time_series(self):
 
     def weighted_rolling_mean(self, group):
         group['timestamp'] = pd.to_datetime(group['timestamp'], unit='ms')
+        
         obb_true_rows = group[group['obb_flag']]
         if not obb_true_rows.empty:
             centroids = obb_true_rows['mask'].apply(self.calculate_centroid)
@@ -87,7 +88,6 @@ def weighted_rolling_mean(self, group):
         group['x'] = group['x'] - avg_diff_x
         group['y'] = group['y'] - avg_diff_y
         group.set_index('timestamp', inplace=True)
-
         weights = np.where(group['obb_flag'], 5, 1)
         group['x'] = self.weighted_rolling_mean_series(group['x'], '800ms', weights)
         group['y'] = self.weighted_rolling_mean_series(group['y'], '800ms', weights)