Update contributors list [skip ci]

* Fixing typos in 2 files

* Fixing typos in 2 files

.all-contributorsrc

@@ -104,13 +104,6 @@
             "profile": "https://github.com/ishapira1",
             "contributions": []
         },
-        {
-            "login": "Maximilian Lam",
-            "name": "Maximilian Lam",
-            "avatar_url": "https://www.gravatar.com/avatar/8863743b4f26c1a20e730fcf7ebc3bc0?d=identicon&s=100",
-            "profile": "https://github.com/harvard-edge/cs249r_book/graphs/contributors",
-            "contributions": []
-        },
         {
             "login": "didier-durand",
             "name": "Didier Durand",
@@ -118,6 +111,13 @@
             "profile": "https://github.com/didier-durand",
             "contributions": []
         },
+        {
+            "login": "Maximilian Lam",
+            "name": "Maximilian Lam",
+            "avatar_url": "https://www.gravatar.com/avatar/8863743b4f26c1a20e730fcf7ebc3bc0?d=identicon&s=100",
+            "profile": "https://github.com/harvard-edge/cs249r_book/graphs/contributors",
+            "contributions": []
+        },
         {
             "login": "jaysonzlin",
             "name": "Jayson Lin",

README.md

@@ -230,10 +230,10 @@ Thanks goes to these wonderful people who have contributed to making this resour
       <td align="center" valign="top" width="20%"><a href="https://github.com/eliasab16"><img src="https://avatars.githubusercontent.com/eliasab16?s=100" width="100px;" alt="Elias"/><br /><sub><b>Elias</b></sub></a><br /></td>
       <td align="center" valign="top" width="20%"><a href="https://github.com/JaredP94"><img src="https://avatars.githubusercontent.com/JaredP94?s=100" width="100px;" alt="Jared Ping"/><br /><sub><b>Jared Ping</b></sub></a><br /></td>
       <td align="center" valign="top" width="20%"><a href="https://github.com/ishapira1"><img src="https://avatars.githubusercontent.com/ishapira1?s=100" width="100px;" alt="Itai Shapira"/><br /><sub><b>Itai Shapira</b></sub></a><br /></td>
-      <td align="center" valign="top" width="20%"><a href="https://github.com/harvard-edge/cs249r_book/graphs/contributors"><img src="https://www.gravatar.com/avatar/8863743b4f26c1a20e730fcf7ebc3bc0?d=identicon&s=100?s=100" width="100px;" alt="Maximilian Lam"/><br /><sub><b>Maximilian Lam</b></sub></a><br /></td>
+      <td align="center" valign="top" width="20%"><a href="https://github.com/didier-durand"><img src="https://avatars.githubusercontent.com/didier-durand?s=100" width="100px;" alt="Didier Durand"/><br /><sub><b>Didier Durand</b></sub></a><br /></td>
     </tr>
     <tr>
-      <td align="center" valign="top" width="20%"><a href="https://github.com/didier-durand"><img src="https://avatars.githubusercontent.com/didier-durand?s=100" width="100px;" alt="Didier Durand"/><br /><sub><b>Didier Durand</b></sub></a><br /></td>
+      <td align="center" valign="top" width="20%"><a href="https://github.com/harvard-edge/cs249r_book/graphs/contributors"><img src="https://www.gravatar.com/avatar/8863743b4f26c1a20e730fcf7ebc3bc0?d=identicon&s=100?s=100" width="100px;" alt="Maximilian Lam"/><br /><sub><b>Maximilian Lam</b></sub></a><br /></td>
       <td align="center" valign="top" width="20%"><a href="https://github.com/jaysonzlin"><img src="https://avatars.githubusercontent.com/jaysonzlin?s=100" width="100px;" alt="Jayson Lin"/><br /><sub><b>Jayson Lin</b></sub></a><br /></td>
       <td align="center" valign="top" width="20%"><a href="https://github.com/andreamurillomtz"><img src="https://avatars.githubusercontent.com/andreamurillomtz?s=100" width="100px;" alt="Andrea"/><br /><sub><b>Andrea</b></sub></a><br /></td>
       <td align="center" valign="top" width="20%"><a href="https://github.com/sophiacho1"><img src="https://avatars.githubusercontent.com/sophiacho1?s=100" width="100px;" alt="Sophia Cho"/><br /><sub><b>Sophia Cho</b></sub></a><br /></td>

quarto/contents/frontmatter/acknowledgements/acknowledgements.qmd

@@ -148,10 +148,10 @@ A comprehensive list of all GitHub contributors is available below, reflecting t
       <td align="center" valign="top" width="20%"><a href="https://github.com/eliasab16"><img src="https://avatars.githubusercontent.com/eliasab16?s=100" width="100px;" alt="Elias"/><br /><sub><b>Elias</b></sub></a><br /></td>
       <td align="center" valign="top" width="20%"><a href="https://github.com/JaredP94"><img src="https://avatars.githubusercontent.com/JaredP94?s=100" width="100px;" alt="Jared Ping"/><br /><sub><b>Jared Ping</b></sub></a><br /></td>
       <td align="center" valign="top" width="20%"><a href="https://github.com/ishapira1"><img src="https://avatars.githubusercontent.com/ishapira1?s=100" width="100px;" alt="Itai Shapira"/><br /><sub><b>Itai Shapira</b></sub></a><br /></td>
-      <td align="center" valign="top" width="20%"><a href="https://github.com/harvard-edge/cs249r_book/graphs/contributors"><img src="https://www.gravatar.com/avatar/8863743b4f26c1a20e730fcf7ebc3bc0?d=identicon&s=100?s=100" width="100px;" alt="Maximilian Lam"/><br /><sub><b>Maximilian Lam</b></sub></a><br /></td>
+      <td align="center" valign="top" width="20%"><a href="https://github.com/didier-durand"><img src="https://avatars.githubusercontent.com/didier-durand?s=100" width="100px;" alt="Didier Durand"/><br /><sub><b>Didier Durand</b></sub></a><br /></td>
     </tr>
     <tr>
-      <td align="center" valign="top" width="20%"><a href="https://github.com/didier-durand"><img src="https://avatars.githubusercontent.com/didier-durand?s=100" width="100px;" alt="Didier Durand"/><br /><sub><b>Didier Durand</b></sub></a><br /></td>
+      <td align="center" valign="top" width="20%"><a href="https://github.com/harvard-edge/cs249r_book/graphs/contributors"><img src="https://www.gravatar.com/avatar/8863743b4f26c1a20e730fcf7ebc3bc0?d=identicon&s=100?s=100" width="100px;" alt="Maximilian Lam"/><br /><sub><b>Maximilian Lam</b></sub></a><br /></td>
       <td align="center" valign="top" width="20%"><a href="https://github.com/jaysonzlin"><img src="https://avatars.githubusercontent.com/jaysonzlin?s=100" width="100px;" alt="Jayson Lin"/><br /><sub><b>Jayson Lin</b></sub></a><br /></td>
       <td align="center" valign="top" width="20%"><a href="https://github.com/andreamurillomtz"><img src="https://avatars.githubusercontent.com/andreamurillomtz?s=100" width="100px;" alt="Andrea"/><br /><sub><b>Andrea</b></sub></a><br /></td>
       <td align="center" valign="top" width="20%"><a href="https://github.com/sophiacho1"><img src="https://avatars.githubusercontent.com/sophiacho1?s=100" width="100px;" alt="Sophia Cho"/><br /><sub><b>Sophia Cho</b></sub></a><br /></td>

quarto/contents/labs/raspi/object_detection/object_detection.qmd

@@ -1178,7 +1178,7 @@ The YOLO (You Only Look Once) model is a highly efficient and widely used object
 6. **Community and Development**:
 
     - YOLO continues to evolve and is supported by a strong community of developers and researchers (being the YOLOv8 very strong). Open-source implementations and extensive documentation have made it accessible for customization and integration into various projects. Popular deep learning frameworks like Darknet, TensorFlow, and PyTorch support YOLO, further broadening its applicability.
-    - [Ultralitics YOLOv8](https://github.com/ultralytics/ultralytics?tab=readme-ov-file) can not only [Detect](https://docs.ultralytics.com/tasks/detect) (our case here) but also [Segment](https://docs.ultralytics.com/tasks/segment) and [Pose](https://docs.ultralytics.com/tasks/pose) models pre-trained on the [COCO](https://docs.ultralytics.com/datasets/detect/coco) dataset and YOLOv8 [Classify](https://docs.ultralytics.com/tasks/classify) models pre-trained on the [ImageNet](https://docs.ultralytics.com/datasets/classify/imagenet) dataset. [Track](https://docs.ultralytics.com/modes/track) mode is available for all Detect, Segment, and Pose models.
+    - [Ultralytics YOLOv8](https://github.com/ultralytics/ultralytics?tab=readme-ov-file) can not only [Detect](https://docs.ultralytics.com/tasks/detect) (our case here) but also [Segment](https://docs.ultralytics.com/tasks/segment) and [Pose](https://docs.ultralytics.com/tasks/pose) models pre-trained on the [COCO](https://docs.ultralytics.com/datasets/detect/coco) dataset and YOLOv8 [Classify](https://docs.ultralytics.com/tasks/classify) models pre-trained on the [ImageNet](https://docs.ultralytics.com/datasets/classify/imagenet) dataset. [Track](https://docs.ultralytics.com/modes/track) mode is available for all Detect, Segment, and Pose models.
 
     ![Ultralytics YOLO supported tasks](images/png/auto-1af10b28_1af10b28.png)
 

quarto/contents/labs/raspi/vlm/vlm.qmd

@@ -161,7 +161,7 @@ Our choice of edge device is the Raspberry Pi 5 (Raspi-5). Its robust platform i
 
 > For real applications, SSDs are a better option than SD cards.
 
-We suggest installing an Active Cooler, a dedicated clip-on cooling solution for Raspberry Pi 5 (Raspi-5), for this lab. It combines an aluminum heatsink with a temperature-controlled blower fan to keep the Raspi-5 operating comfortably under heavy loads, such as running Florense-2.
+We suggest installing an Active Cooler, a dedicated clip-on cooling solution for Raspberry Pi 5 (Raspi-5), for this lab. It combines an aluminum heat sink with a temperature-controlled blower fan to keep the Raspi-5 operating comfortably under heavy loads, such as running Florense-2.
 
 \noindent
 ![](images/jpeg/raspi5-active-cooler.jpg){width=80% fig-align="center"}