DOCS-3471: Update camera.md remove stream from Go camera interface

docs/dev/_index.md

@@ -478,9 +478,7 @@ for d in detections:
 ```go
 // Get image from camera stream on construction site
 myCamera, err := camera.FromRobot(machine, "construction-site-cam")
-camStream, err := myCamera.Stream(context.Background())
-img, release, err := camStream.Next(context.Background())
-defer release()
+img, err = camera.DecodeImageFromCamera(context.Background(), utils.MimeTypeJPEG, nil, myCamera)
 
 // Use machine learning model to gather information from the image
 visService, err := vision.FromRobot(machine, "hardhat_detector")
@@ -494,6 +492,8 @@ for i := 0; i < len(detections); i++ {
 }
 ```
 
+Be sure to import `"go.viam.com/rdk/utils"` at the beginning of your file.
+
 {{% /tab %}}
 {{< /tabs >}}
 

docs/dev/reference/apis/components/camera.md

@@ -16,7 +16,7 @@ The camera API allows you to give commands to your [camera components](/operate/
 
 The API for camera components allows you to:
 
-- Request single images or a stream in 2D color, or display z-depth.
+- Request single images in 2D color, or display z-depth.
 - Request a point cloud.
   Each 3D point cloud image consists of a set of coordinates (x,y,z) representing depth in mm.
 

docs/operate/reference/services/vision/color_detector.md

@@ -211,6 +211,7 @@ import (
   "go.viam.com/rdk/config"
   "go.viam.com/rdk/services/vision"
   "go.viam.com/rdk/components/camera"
+  "go.viam.com/rdk/utils"
 )
 
 // Grab the camera from the machine
@@ -237,12 +238,11 @@ if len(directDetections) > 0 {
 // If you need to store the image, get the image first
 // and then run detections on it. This process is slower:
 
-// Get the stream from a camera
-camStream, err := myCam.Stream(context.Background())
-
-// Get an image from the camera stream
-img, release, err := camStream.Next(context.Background())
-defer release()
+// Get an image from the camera decoded as an image.Image
+img, err = camera.DecodeImageFromCamera(context.Background(), utils.MimeTypeJPEG, nil, myCam)
+if err != nil {
+    logger.Fatalf("Could not decode image from camera: %v", err)
+}
 
 // Apply the color classifier to the image from your camera (configured as "cam1")
 detectionsFromImage, err := myDetector.Detections(context.Background(), img, nil)

docs/operate/reference/services/vision/mlmodel.md

@@ -342,6 +342,7 @@ import (
   "go.viam.com/rdk/config"
   "go.viam.com/rdk/services/vision"
   "go.viam.com/rdk/components/camera"
+  "go.viam.com/rdk/utils"
 )
 
 cameraName := "cam1"
@@ -367,12 +368,11 @@ if len(directDetections) > 0 {
 // If you need to store the image, get the image first
 // and then run detections on it. This process is slower:
 
-// Get the stream from a camera
-camStream, err := myCam.Stream(context.Background())
-
-// Get an image from the camera stream
-img, release, err := camStream.Next(context.Background())
-defer release()
+// Get an image from the camera decoded as an image.Image
+img, err = camera.DecodeImageFromCamera(context.Background(), utils.MimeTypeJPEG, nil, myCam)
+if err != nil {
+    logger.Fatalf("Could not decode image from camera: %v", err)
+}
 
 // Apply the color classifier to the image from your camera (configured as "cam1")
 detectionsFromImage, err := myDetector.Detections(context.Background(), img, nil)
@@ -423,6 +423,7 @@ import (
   "go.viam.com/rdk/config"
   "go.viam.com/rdk/services/vision"
   "go.viam.com/rdk/components/camera"
+  "go.viam.com/rdk/utils"
 )
 
 cameraName := "cam1"
@@ -448,12 +449,11 @@ if len(directClassifications) > 0 {
 // If you need to store the image, get the image first
 // and then run classifications on it. This process is slower:
 
-// Get the stream from a camera
-camStream, err := myCam.Stream(context.Background())
-
-// Get an image from the camera stream
-img, release, err := camStream.Next(context.Background())
-defer release()
+// Get an image from the camera decoded as an image.Image
+img, err = camera.DecodeImageFromCamera(context.Background(), utils.MimeTypeJPEG, nil, myCam)
+if err != nil {
+    logger.Fatalf("Could not decode image from camera: %v", err)
+}
 
 // Apply the color classifier to the image from your camera (configured as "cam1")
 // Get the top 2 classifications with the highest confidence scores