diff --git a/.github/workflows/commitlint.yaml b/.github/workflows/commitlint.yaml
new file mode 100644
index 000000000..215f59e5c
--- /dev/null
+++ b/.github/workflows/commitlint.yaml
@@ -0,0 +1,11 @@
+name: Commit Lint
+
+on:
+  pull_request:
+    types: [opened, edited, synchronize, reopened]
+
+jobs:
+  commitlint:
+    uses: KeepTruckin/github-workflows-catalog/.github/workflows/commitlint.yaml@master
+    with:
+      node_version: "20"
diff --git a/.github/workflows/semantic-release.yaml b/.github/workflows/semantic-release.yaml
new file mode 100644
index 000000000..0d43169d0
--- /dev/null
+++ b/.github/workflows/semantic-release.yaml
@@ -0,0 +1,15 @@
+name: Semantic Release
+
+on:
+  push:
+    branches:
+      - master
+      - main
+      - develop
+      - development
+
+jobs:
+  release:
+    uses: KeepTruckin/github-workflows-catalog/.github/workflows/semantic-release.yaml@master
+    secrets:
+      KTBOT_GH_PAT: ${{ secrets.KTBOT_GH_PAT }}
diff --git a/commitlint.config.js b/commitlint.config.js
new file mode 100644
index 000000000..f362c48be
--- /dev/null
+++ b/commitlint.config.js
@@ -0,0 +1,52 @@
+module.exports = {
+  extends: ["@commitlint/config-conventional"],
+  rules: {
+    // Type must be one of these
+    "type-enum": [
+      2,
+      "always",
+      [
+        "feat", // New feature
+        "fix", // Bug fix
+        "docs", // Documentation only changes
+        "style", // Changes that don't affect code meaning (formatting, etc)
+        "refactor", // Code change that neither fixes a bug nor adds a feature
+        "perf", // Performance improvement
+        "test", // Adding or updating tests
+        "chore", // Changes to build process or auxiliary tools
+        "revert", // Revert a previous commit
+        "build", // Changes to build system or dependencies
+        "ci", // Changes to CI configuration
+      ],
+    ],
+
+    // Scope is REQUIRED and should be the JIRA ticket (e.g., DEVPRD-3177)
+    "scope-empty": [2, "never"],
+    "scope-case": [2, "always", "upper-case"],
+
+    // Subject must not be sentence-case, start-case, pascal-case, upper-case
+    "subject-case": [
+      2,
+      "never",
+      ["sentence-case", "start-case", "pascal-case", "upper-case"],
+    ],
+
+    // Subject must not end with a period
+    "subject-full-stop": [2, "never", "."],
+
+    // Subject must not be empty
+    "subject-empty": [2, "never"],
+
+    // Type must not be empty
+    "type-empty": [2, "never"],
+
+    // Header max length (100 characters)
+    "header-max-length": [2, "always", 100],
+
+    // Body max line length (100 characters)
+    "body-max-line-length": [2, "always", 100],
+
+    // Footer max line length (100 characters)
+    "footer-max-line-length": [2, "always", 100],
+  },
+};
diff --git a/efficientdet/hparams_config.py b/efficientdet/hparams_config.py
index e81d6465b..d5b3a39e8 100644
--- a/efficientdet/hparams_config.py
+++ b/efficientdet/hparams_config.py
@@ -45,7 +45,10 @@ def __getattr__(self, k):
     return self.__dict__[k]
 
   def __getitem__(self, k):
-    return self.__dict__[k]
+    try:
+        return self.__dict__[k]
+    except:
+        raise AttributeError(k)
 
   def __repr__(self):
     return repr(self.as_dict())
@@ -191,11 +194,19 @@ def default_detection_configs():
   # dataset specific parameters
   # TODO(tanmingxing): update this to be 91 for COCO, and 21 for pascal.
   h.num_classes = 90  # 1+ actual classes, 0 is reserved for background.
+  h.num_classification_classes = 3  # number of classes for image classification head
+  h.num_pose_kps = 7    # number of upper body pose keyponits
+  h.pose_mask_shape = [ 48, 65 ]    # for input image shape 381x519. change if your input resolution is different
   h.seg_num_classes = 3  # segmentation classes
-  h.heads = ['object_detection']  # 'object_detection', 'segmentation'
+  # select one of these heads 'object_detection_image_classification_pose', 'object_detection_image_classification', 'object_detection', 'segmentation'
+  h.heads = ['object_detection_image_classification_pose']
+  h.crop_offset = [0, 0]    # image cropping offset
 
   h.skip_crowd_during_training = True
   h.label_map = None  # a dict or a string of 'coco', 'voc', 'waymo'.
+  h.label_name_map = None
+  h.label_map_inference = None
+  h.ground_truth_label_map_dict = None
   h.max_instances_per_image = 100  # Default to 100 for COCO.
   h.regenerate_source_id = False