Merge pull request #275 from harvard-edge/270-support-multiple-hardwa…

…re-vendors

270 Support multiple hardware vendors

_quarto.yml

@@ -6,6 +6,11 @@ project:
     navigate: true
   render: 
     - "*.qmd"
+    - "contents/*.qmd"
+    - "contents/*/*.qmd"
+    - "contents/*/*/*.qmd"
+    - "contents/*/*/*/*.qmd"
+    - "contents/*/*/*/*/*.qmd" # contents/labs/<vendor>/<board>/<exercises>/*.qmd
 
 title-prefix: ""
 
@@ -44,6 +49,8 @@ book:
   cover-image: cover-image-transparent.png
   cover-image-alt: "Cover image."
 
+  bread-crumbs: true
+
   sidebar:
     collapse-level: 2
     border: true
@@ -113,21 +120,34 @@ book:
       chapters:
       - contents/conclusion/conclusion.qmd
     - text: "---"  
+    # LABS
+    - part: LABS
+    # nicla vision
+    - part: contents/labs/arduino/nicla_vision/nicla_vision.qmd
+      chapters:
+      - contents/labs/arduino/nicla_vision/setup/setup.qmd
+      - contents/labs/arduino/nicla_vision/image_classification/image_classification.qmd
+      - contents/labs/arduino/nicla_vision/object_detection/object_detection.qmd
+      - contents/labs/arduino/nicla_vision/kws/kws.qmd
+      - contents/labs/arduino/nicla_vision/motion_classification/motion_classification.qmd
+    # xiao sense
+    - part: contents/labs/seeed/xiao_esp32s3/xiao_esp32s3.qmd
+      chapters:
+      - contents/labs/seeed/xiao_esp32s3/setup/setup.qmd
+      - contents/labs/seeed/xiao_esp32s3/image_classification/image_classification.qmd
+      - contents/labs/seeed/xiao_esp32s3/object_detection/object_detection.qmd
+      - contents/labs/seeed/xiao_esp32s3/kws/kws.qmd
+      - contents/labs/seeed/xiao_esp32s3/motion_classification/motion_classification.qmd
+    - part: contents/labs/shared/shared.qmd
+      chapters:
+      - contents/labs/shared/kws_feature_eng/kws_feature_eng.qmd
+      - contents/labs/shared/dsp_spectral_features_block/dsp_spectral_features_block.qmd
+    - text: "---"  
+    # REFERENCES
     - part: REFERENCES
       chapters: 
         - references.qmd
     - text: "---"  
-    - part: contents/labs.qmd
-      chapters: 
-        - contents/niclav_sys/niclav_sys.qmd
-        - contents/image_classification/image_classification.qmd
-        - contents/object_detection_fomo/object_detection_fomo.qmd
-        - contents/kws_feature_eng/kws_feature_eng.qmd
-        - contents/kws_nicla/kws_nicla.qmd
-        - contents/dsp_spectral_features_block/dsp_spectral_features_block.qmd
-        - contents/motion_classify_ad/motion_classify_ad.qmd
-    - text: "---"
-
   appendices:
       - contents/tools.qmd
       - contents/zoo_datasets.qmd
@@ -144,23 +164,17 @@ filters:
   - custom_callout.lua
 
 bibliography: 
+  # main
   - contents/introduction/introduction.bib
   - contents/ai_for_good/ai_for_good.bib
   - contents/benchmarking/benchmarking.bib
   - contents/data_engineering/data_engineering.bib
   - contents/dl_primer/dl_primer.bib
-  - contents/dsp_spectral_features_block/dsp_spectral_features_block.bib
   - contents/efficient_ai/efficient_ai.bib
   - contents/ml_systems/ml_systems.bib
   - contents/frameworks/frameworks.bib
   - contents/generative_ai/generative_ai.bib
   - contents/hw_acceleration/hw_acceleration.bib
-  - contents/image_classification/image_classification.bib
-  - contents/kws_feature_eng/kws_feature_eng.bib
-  - contents/kws_nicla/kws_nicla.bib
-  - contents/motion_classify_ad/motion_classify_ad.bib
-  - contents/niclav_sys/niclav_sys.bib
-  - contents/object_detection_fomo/object_detection_fomo.bib
   - contents/ondevice_learning/ondevice_learning.bib
   - contents/ops/ops.bib
   - contents/optimizations/optimizations.bib

contents/dsp_spectral_features_block/dsp_spectral_features_block.qmd

@@ -2,7 +2,7 @@
 bibliography: dsp_spectral_features_block.bib
 ---
 
-# DSP - Spectral Features {.unnumbered}
+# DSP Spectral Features {.unnumbered}
 
 ![*DALL·E 3 Prompt: 1950s style cartoon illustration of a Latin male and female scientist in a vibration research room. The man is using a calculus ruler to examine ancient circuitry. The woman is at a computer with complex vibration graphs. The wooden table has boards with sensors, prominently an accelerometer. A classic, rounded-back computer shows the Arduino IDE with code for LED pin assignments and machine learning algorithms for movement detection. The Serial Monitor displays FFT, classification, wavelets, and DSPs. Vintage lamps, tools, and charts with FFT and Wavelets graphs complete the scene.*](images/jpg/dsp_ini.jpg){fig-align="center" width="6.5in"}