eiq-examples: update for NXP's lf-6.6.52-2.2.2 release

Removed not needed patch and refreshed the rest.

https://onedigi.atlassian.net/browse/DEL-9905

Signed-off-by: Javier Viguera <javier.viguera@digi.com>

meta-digi-dey/dynamic-layers/imx-machine-learning/recipes-libraries/eiq-examples/eiq-examples/0003-check-vela-return-code.patch

@@ -8,10 +8,10 @@ Signed-off-by: Isaac Hermida <isaac.hermida@digi.com>
  1 file changed, 5 insertions(+), 1 deletion(-)
 
 diff --git a/download_models.py b/download_models.py
-index 462f7b755eea..fc5ab234ae47 100644
+index 30c660fe4477..2e60f42c17a2 100644
 --- a/download_models.py
 +++ b/download_models.py
-@@ -103,7 +103,11 @@ def convert_model(model_dir, vela_dir):
+@@ -96,7 +96,11 @@ def convert_model(model_dir, vela_dir):
          if name.endswith(".tflite"):
              print('Converting', name)
              model = os.path.join(model_dir, name)

meta-digi-dey/dynamic-layers/imx-machine-learning/recipes-libraries/eiq-examples/eiq-examples/0004-use-local-copy-of-ssd_mobilenet_v1_quant-model.patch

@@ -1,29 +0,0 @@
-From: Isaac Hermida <isaac.hermida@digi.com>
-Date: Tue, 25 Feb 2025 12:32:45 +0000
-Subject: [PATCH] use local copy of ssd_mobilenet_v1_quant model
-
-This model is broken, and the Vela conversion is failing.
-Until it is fixed, use a locally working copy.
-
-Signed-off-by: Isaac Hermida <isaac.hermida@digi.com>
----
- download_models.py | 6 +++---
- 1 file changed, 3 insertions(+), 3 deletions(-)
-
-diff --git a/download_models.py b/download_models.py
-index ba1cce726e25..411538a19662 100644
---- a/download_models.py
-+++ b/download_models.py
-@@ -67,9 +67,9 @@ def download_all_models(model_dir, vela_dir):
- 
-     #Download object detection model
-     #https://www.tensorflow.org/
--    url = 'https://storage.googleapis.com/tfhub-lite-models/tensorflow/lite-model/ssd_mobilenet_v1/1/metadata/2.tflite'
--    path = os.path.join(model_dir, 'ssd_mobilenet_v1_quant.tflite')
--    download_file('object detection', url, path)
-+    # url = 'https://storage.googleapis.com/tfhub-lite-models/tensorflow/lite-model/ssd_mobilenet_v1/1/metadata/2.tflite'
-+    # path = os.path.join(model_dir, 'ssd_mobilenet_v1_quant.tflite')
-+    # download_file('object detection', url, path)
- 
-     #Download image classification model
-     #https://www.tensorflow.org/

meta-digi-dey/dynamic-layers/imx-machine-learning/recipes-libraries/eiq-examples/eiq-examples_git.bbappend

@@ -12,9 +12,6 @@ SRC_URI += " \
     file://0001-Customize-EiQ-demos.patch \
     file://0002-improvements-capture-x-windows-and-increase-resoluti.patch \
     file://0003-check-vela-return-code.patch \
-    file://0004-use-local-copy-of-ssd_mobilenet_v1_quant-model.patch \
-    file://ssd_mobilenet_v1_quant.tflite \
-    file://ssd_mobilenet_v1_quant_vela.tflite \
     file://scripts/launch_eiq_demo.sh \
     file://service/eiqdemo.service \
 "
@@ -46,14 +43,12 @@ do_install () {
     for archive in "${S}/${MODELS_DIR}"/*.tflite; do
         cp "${archive}" "${D}${bindir}/${PN}-${PV}/${MODELS_DIR}"
     done
-    cp ${WORKDIR}/ssd_mobilenet_v1_quant.tflite "${D}${bindir}/${PN}-${PV}/${MODELS_DIR}"
 
     # Install the transformed Vela models.
     install -d "${D}${bindir}/${PN}-${PV}/${VELA_MODELS_DIR}"
     for archive in "${S}/${VELA_MODELS_DIR}"/*.tflite; do
         cp "${archive}" "${D}${bindir}/${PN}-${PV}/${VELA_MODELS_DIR}"
     done
-    cp ${WORKDIR}/ssd_mobilenet_v1_quant_vela.tflite "${D}${bindir}/${PN}-${PV}/${VELA_MODELS_DIR}"
 
     # Install the launch script.
     install -d ${D}${sysconfdir}/demos/scripts