Add minimal usage snippets (Kotlin + Python)

README.md

@@ -59,18 +59,39 @@ GREATER_EQUAL x6, SELECT x6, ADD x6, PAD x3, CONCATENATION x1
 The fp16 model compiles to **158 / 158 nodes on the LiteRT GPU delegate (LITERT_CL)** — full
 GPU residency, no CPU fallback.
 
-## Usage (Android, LiteRT CompiledModel)
+## Minimal usage
+
+**Android (Kotlin, CompiledModel GPU)**
 
 ```kotlin
-val model = CompiledModel.create(
-    context.assets, "pose_256_fp16.tflite",
-    CompiledModel.Options(Accelerator.GPU), null
-)
+val model = CompiledModel.create(context.assets, "pose_256_fp16.tflite",
+    CompiledModel.Options(Accelerator.GPU), null)
 val inputs = model.createInputBuffers()
 val outputs = model.createOutputBuffers()
-inputs[0].writeFloat(rgbNormalized)    // [1,256,256,3], (px-128)/256
+inputs[0].writeFloat(nhwc)             // [1,256,256,3] RGB, (px - 128) / 256
 model.run(inputs, outputs)
-val heatmaps = outputs[0].readFloat()  // [1,32,32,19] -> argmax per keypoint in app code
+val heatmaps = outputs[0].readFloat()  // [1,32,32,19] -> argmax per keypoint channel
+```
+
+**Python (desktop verification)**
+
+```python
+import numpy as np
+from PIL import Image
+from ai_edge_litert.interpreter import Interpreter
+
+img = Image.open("person.jpg").convert("RGB").resize((256, 256))
+x = ((np.asarray(img, np.float32) - 128.0) / 256.0)[None]        # [1,256,256,3] NHWC
+
+it = Interpreter(model_path="pose_256_fp16.tflite"); it.allocate_tensors()
+it.set_tensor(it.get_input_details()[0]["index"], x); it.invoke()
+hm = it.get_tensor(it.get_output_details()[0]["index"])[0]       # [32,32,19]
+
+NAMES = ["nose","neck","r_sho","r_elb","r_wri","l_sho","l_elb","l_wri",
+         "r_hip","r_knee","r_ank","l_hip","l_knee","l_ank","r_eye","l_eye","r_ear","l_ear"]
+for k, name in enumerate(NAMES):                                  # channel 18 = background
+    gy, gx = divmod(hm[:, :, k].argmax(), 32)
+    print(f"{name}: ({gx/32:.2f}, {gy/32:.2f}) conf {hm[gy, gx, k]:.2f}")
 ```
 
 A complete Android sample (camera + gallery, skeleton overlay) is available in