Upload 2 files
Browse files- inference.py +237 -0
- taxonomy.csv +218 -0
inference.py
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| 1 |
+
"""
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| 2 |
+
ModelInference for the addax-sppnet model family.
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| 3 |
+
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| 4 |
+
Architecture: SpeciesNet GraphModule backbone (frozen) + a thin nn.Linear
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| 5 |
+
head fine-tuned per region. Originally written for AddaxAI's legacy
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| 6 |
+
classify_detections.py (Peter van Lunteren, 13 May 2025); ported here to
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| 7 |
+
the WebUI's class-based ModelInference interface.
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| 8 |
+
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| 9 |
+
Files expected in the model directory:
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| 10 |
+
- <model_fname>.pt fine-tuned head checkpoint, e.g. final-20260317.pt
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| 11 |
+
- <backbone>.pt frozen SpeciesNet backbone, one of:
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| 12 |
+
- always_crop_99710272_22x8_v12_epoch_00148.pt
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| 13 |
+
- full_image_88545560_22x8_v12_epoch_00153.pt
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| 14 |
+
"""
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| 15 |
+
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| 16 |
+
from __future__ import annotations
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+
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+
# Allow loading checkpoints saved on a Windows runner on a POSIX machine.
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| 19 |
+
import pathlib
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| 20 |
+
import platform
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| 21 |
+
from pathlib import Path
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| 22 |
+
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| 23 |
+
import numpy as np
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| 24 |
+
import torch
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+
import torch.nn as nn
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| 26 |
+
import torch.nn.functional as F
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| 27 |
+
from PIL import Image
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| 28 |
+
from torchvision import transforms
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| 29 |
+
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| 30 |
+
if platform.system() != "Windows":
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| 31 |
+
pathlib.WindowsPath = pathlib.PosixPath # type: ignore[assignment]
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| 32 |
+
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| 33 |
+
# Don't fail on truncated images during inference.
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| 34 |
+
from PIL import ImageFile
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| 35 |
+
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| 36 |
+
ImageFile.LOAD_TRUNCATED_IMAGES = True
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| 37 |
+
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| 38 |
+
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| 39 |
+
_BACKBONE_FILENAMES = (
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| 40 |
+
"always_crop_99710272_22x8_v12_epoch_00148.pt",
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| 41 |
+
"full_image_88545560_22x8_v12_epoch_00153.pt",
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| 42 |
+
)
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| 43 |
+
|
| 44 |
+
|
| 45 |
+
def _load_fx_checkpoint(weights_path: Path, map_location: str = "cpu") -> nn.Module:
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| 46 |
+
"""Load a SpeciesNet onnx2torch GraphModule.
|
| 47 |
+
|
| 48 |
+
The backbone is shipped as a torch.fx GraphModule. PyTorch 2.4+
|
| 49 |
+
requires `reduce_graph_module` to be in the safe-globals allowlist
|
| 50 |
+
when loading with `weights_only=True`; older versions don't have
|
| 51 |
+
this concept. Try both paths.
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| 52 |
+
"""
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| 53 |
+
try:
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| 54 |
+
from torch.fx.graph_module import reduce_graph_module
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| 55 |
+
from torch.serialization import add_safe_globals
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| 56 |
+
add_safe_globals([reduce_graph_module])
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| 57 |
+
except Exception:
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| 58 |
+
pass
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| 59 |
+
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| 60 |
+
try:
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| 61 |
+
obj = torch.load(weights_path, map_location=map_location, weights_only=True)
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| 62 |
+
except Exception:
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| 63 |
+
obj = torch.load(weights_path, map_location=map_location, weights_only=False)
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| 64 |
+
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| 65 |
+
if hasattr(obj, "state_dict") and hasattr(obj, "forward"):
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| 66 |
+
return obj
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| 67 |
+
raise ValueError(f"{weights_path} is not a torch.nn.Module GraphModule")
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| 68 |
+
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| 69 |
+
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| 70 |
+
class _FXClassifier(nn.Module):
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| 71 |
+
"""SpeciesNet backbone (frozen) + linear head."""
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| 72 |
+
|
| 73 |
+
def __init__(
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| 74 |
+
self,
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| 75 |
+
backbone: nn.Module,
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| 76 |
+
num_classes: int,
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| 77 |
+
img_size: int = 480,
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| 78 |
+
input_layout: str = "nhwc",
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| 79 |
+
) -> None:
|
| 80 |
+
super().__init__()
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| 81 |
+
self.backbone = backbone
|
| 82 |
+
self.input_layout = input_layout.lower()
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| 83 |
+
|
| 84 |
+
for p in self.backbone.parameters():
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| 85 |
+
p.requires_grad = False
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| 86 |
+
self.backbone.eval()
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| 87 |
+
|
| 88 |
+
# Probe the backbone to discover output feature size at this
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| 89 |
+
# img_size + layout combo, so the head matches exactly.
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| 90 |
+
with torch.no_grad():
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| 91 |
+
x = torch.zeros(1, 3, img_size, img_size)
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| 92 |
+
if self.input_layout == "nhwc":
|
| 93 |
+
x = x.permute(0, 2, 3, 1).contiguous()
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| 94 |
+
z = self.backbone(x)
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| 95 |
+
z = self._pool(z)
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| 96 |
+
in_features = z.shape[1]
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| 97 |
+
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| 98 |
+
self.head = nn.Linear(in_features, num_classes)
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| 99 |
+
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| 100 |
+
@staticmethod
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| 101 |
+
def _pool(z: torch.Tensor) -> torch.Tensor:
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| 102 |
+
if z.ndim == 4:
|
| 103 |
+
return F.adaptive_avg_pool2d(z, 1).flatten(1)
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| 104 |
+
if z.ndim == 3:
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| 105 |
+
return z.mean(dim=1)
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| 106 |
+
return z.flatten(1)
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| 107 |
+
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| 108 |
+
def forward(self, x: torch.Tensor) -> torch.Tensor:
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| 109 |
+
if self.input_layout == "nhwc":
|
| 110 |
+
x = x.permute(0, 2, 3, 1).contiguous()
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| 111 |
+
z = self.backbone(x)
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| 112 |
+
z = self._pool(z)
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| 113 |
+
return self.head(z)
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| 114 |
+
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| 115 |
+
|
| 116 |
+
class ModelInference:
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| 117 |
+
"""ModelInference for the addax-sppnet family (SpeciesNet backbone + linear head)."""
|
| 118 |
+
|
| 119 |
+
def __init__(self, model_dir: Path, model_path: Path) -> None:
|
| 120 |
+
self.model_dir = Path(model_dir)
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| 121 |
+
self.model_path = Path(model_path)
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| 122 |
+
self.model: _FXClassifier | None = None
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| 123 |
+
self.device: torch.device | None = None
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| 124 |
+
self._class_names: list[str] = []
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| 125 |
+
self._preprocess: transforms.Compose | None = None
|
| 126 |
+
|
| 127 |
+
# ------------------------------------------------------------------
|
| 128 |
+
# Required interface
|
| 129 |
+
# ------------------------------------------------------------------
|
| 130 |
+
|
| 131 |
+
def check_gpu(self) -> bool:
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| 132 |
+
try:
|
| 133 |
+
if torch.backends.mps.is_built() and torch.backends.mps.is_available():
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| 134 |
+
return True
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| 135 |
+
except Exception:
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| 136 |
+
pass
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| 137 |
+
return torch.cuda.is_available()
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| 138 |
+
|
| 139 |
+
def load_model(self) -> None:
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| 140 |
+
if self.check_gpu():
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| 141 |
+
self.device = torch.device(
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| 142 |
+
"mps" if torch.backends.mps.is_available() else "cuda"
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| 143 |
+
)
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| 144 |
+
else:
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| 145 |
+
self.device = torch.device("cpu")
|
| 146 |
+
|
| 147 |
+
# Load fine-tuned head checkpoint.
|
| 148 |
+
try:
|
| 149 |
+
checkpoint = torch.load(
|
| 150 |
+
self.model_path, map_location=self.device, weights_only=True
|
| 151 |
+
)
|
| 152 |
+
except Exception:
|
| 153 |
+
checkpoint = torch.load(
|
| 154 |
+
self.model_path, map_location=self.device, weights_only=False
|
| 155 |
+
)
|
| 156 |
+
|
| 157 |
+
# Resolve backbone path. The fine-tuned model ships alongside
|
| 158 |
+
# one of two known backbone files, depending on the recipe.
|
| 159 |
+
backbone_path: Path | None = None
|
| 160 |
+
for name in _BACKBONE_FILENAMES:
|
| 161 |
+
candidate = self.model_dir / name
|
| 162 |
+
if candidate.exists():
|
| 163 |
+
backbone_path = candidate
|
| 164 |
+
break
|
| 165 |
+
if backbone_path is None:
|
| 166 |
+
raise FileNotFoundError(
|
| 167 |
+
"Backbone weights not found. Expected one of "
|
| 168 |
+
f"{_BACKBONE_FILENAMES} in {self.model_dir}."
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| 169 |
+
)
|
| 170 |
+
|
| 171 |
+
backbone = _load_fx_checkpoint(backbone_path, map_location="cpu")
|
| 172 |
+
model = _FXClassifier(
|
| 173 |
+
backbone=backbone,
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| 174 |
+
num_classes=checkpoint["num_classes"],
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| 175 |
+
img_size=checkpoint["img_size"],
|
| 176 |
+
input_layout=checkpoint["input_layout"],
|
| 177 |
+
)
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| 178 |
+
model.load_state_dict(checkpoint["model"])
|
| 179 |
+
self.model = model.to(self.device).eval()
|
| 180 |
+
|
| 181 |
+
self._class_names = list(checkpoint["class_names"])
|
| 182 |
+
|
| 183 |
+
norm = checkpoint["normalize"]
|
| 184 |
+
img_size = checkpoint["img_size"]
|
| 185 |
+
self._preprocess = transforms.Compose([
|
| 186 |
+
transforms.Resize((img_size, img_size), antialias=True),
|
| 187 |
+
transforms.ToTensor(),
|
| 188 |
+
transforms.Normalize(mean=norm["mean"], std=norm["std"]),
|
| 189 |
+
])
|
| 190 |
+
|
| 191 |
+
def get_crop(
|
| 192 |
+
self, image: Image.Image, bbox: tuple[float, float, float, float]
|
| 193 |
+
) -> Image.Image:
|
| 194 |
+
"""Crop the bbox region. SpeciesNet head was trained on tight crops."""
|
| 195 |
+
W, H = image.size
|
| 196 |
+
x, y, w, h = bbox
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| 197 |
+
left = max(0, int(round(x * W)))
|
| 198 |
+
top = max(0, int(round(y * H)))
|
| 199 |
+
right = min(W, int(round((x + w) * W)))
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| 200 |
+
bottom = min(H, int(round((y + h) * H)))
|
| 201 |
+
if right <= left or bottom <= top:
|
| 202 |
+
return image
|
| 203 |
+
return image.crop((left, top, right, bottom))
|
| 204 |
+
|
| 205 |
+
def get_classification(self, crop: Image.Image) -> list[list]:
|
| 206 |
+
"""Per-image inference. Returns [[name, prob], ...] for all classes."""
|
| 207 |
+
assert self.model is not None and self._preprocess is not None
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| 208 |
+
if crop.mode != "RGB":
|
| 209 |
+
crop = crop.convert("RGB")
|
| 210 |
+
tensor = self._preprocess(crop).unsqueeze(0).to(self.device)
|
| 211 |
+
with torch.no_grad():
|
| 212 |
+
probs = F.softmax(self.model(tensor), dim=1).cpu().numpy()[0]
|
| 213 |
+
return [[self._class_names[i], float(probs[i])] for i in range(len(probs))]
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| 214 |
+
|
| 215 |
+
def get_class_names(self) -> dict[str, str]:
|
| 216 |
+
"""1-indexed mapping {id: class_name} for the output JSON."""
|
| 217 |
+
return {str(i + 1): name for i, name in enumerate(self._class_names)}
|
| 218 |
+
|
| 219 |
+
# ------------------------------------------------------------------
|
| 220 |
+
# Optional batch interface (5-15x GPU speedup vs per-crop calls)
|
| 221 |
+
# ------------------------------------------------------------------
|
| 222 |
+
|
| 223 |
+
def get_tensor(self, crop: Image.Image) -> np.ndarray:
|
| 224 |
+
assert self._preprocess is not None
|
| 225 |
+
if crop.mode != "RGB":
|
| 226 |
+
crop = crop.convert("RGB")
|
| 227 |
+
return self._preprocess(crop).numpy()
|
| 228 |
+
|
| 229 |
+
def classify_batch(self, batch: np.ndarray) -> list[list[list]]:
|
| 230 |
+
assert self.model is not None
|
| 231 |
+
tensor = torch.from_numpy(batch).to(self.device)
|
| 232 |
+
with torch.no_grad():
|
| 233 |
+
probs = F.softmax(self.model(tensor), dim=1).cpu().numpy()
|
| 234 |
+
return [
|
| 235 |
+
[[self._class_names[j], float(p[j])] for j in range(len(p))]
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| 236 |
+
for p in probs
|
| 237 |
+
]
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taxonomy.csv
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|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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| 1 |
+
model_class,class,order,family,genus,species
|
| 2 |
+
amphibians,amphibia,,,,
|
| 3 |
+
hawks and eagles,aves,accipitriformes,accipitridae,,
|
| 4 |
+
goshawks and sparrowhawks,aves,accipitriformes,accipitridae,accipiter,
|
| 5 |
+
brown goshawk,aves,accipitriformes,accipitridae,accipiter,fasciatus
|
| 6 |
+
wedge-tailed eagle,aves,accipitriformes,accipitridae,aquila,audax
|
| 7 |
+
whistling kite,aves,accipitriformes,accipitridae,haliastur,sphenurus
|
| 8 |
+
pacific black duck,aves,anseriformes,anatidae,anas,superciliosa
|
| 9 |
+
cape barren goose,aves,anseriformes,anatidae,cereopsis,novaehollandiae
|
| 10 |
+
australian wood duck,aves,anseriformes,anatidae,chenonetta,jubata
|
| 11 |
+
black swan,aves,anseriformes,anatidae,cygnus,atratus
|
| 12 |
+
australian owlet-nightjar,aves,apodiformes,aegothelidae,aegotheles,cristatus
|
| 13 |
+
spotted nightjar,aves,caprimulgiformes,caprimulgidae,eurostopodus,argus
|
| 14 |
+
tawny frogmouth,aves,caprimulgiformes,podargidae,podargus,strigoides
|
| 15 |
+
emu,aves,casuariiformes,dromaiidae,dromaius,novaehollandiae
|
| 16 |
+
hooded plover,aves,charadriiformes,charadriidae,thinornis,cucullatus
|
| 17 |
+
masked lapwing,aves,charadriiformes,charadriidae,vanellus,miles
|
| 18 |
+
silver gull,aves,charadriiformes,laridae,chroicocephalus,novaehollandiae
|
| 19 |
+
pacific gull,aves,charadriiformes,laridae,larus,pacificus
|
| 20 |
+
latham's snipe,aves,charadriiformes,scolopacidae,gallinago,hardwickii
|
| 21 |
+
painted button-quail,aves,charadriiformes,turnicidae,turnix,varius
|
| 22 |
+
shorebirds spp,aves,charadriiformes,,,
|
| 23 |
+
peaceful dove,aves,columbiformes,columbidae,geopelia,placida
|
| 24 |
+
wonga pigeon,aves,columbiformes,columbidae,leucosarcia,melanoleuca
|
| 25 |
+
crested pigeon,aves,columbiformes,columbidae,ocyphaps,lophotes
|
| 26 |
+
common bronzewing,aves,columbiformes,columbidae,phaps,chalcoptera
|
| 27 |
+
brush bronzewing,aves,columbiformes,columbidae,phaps,elegans
|
| 28 |
+
laughing kookaburra,aves,coraciiformes,alcedinidae,dacelo,novaeguineae
|
| 29 |
+
fan-tailed cuckoo,aves,cuculiformes,cuculidae,cacomantis,flabelliformis
|
| 30 |
+
shining bronze-cuckoo,aves,cuculiformes,cuculidae,chrysococcyx,lucidus
|
| 31 |
+
brown falcon,aves,falconiformes,falconidae,falco,berigora
|
| 32 |
+
malleefowl,aves,galliformes,megapodiidae,leipoa,ocellata
|
| 33 |
+
brown quail,aves,galliformes,phasianidae,synoicus,ypsilophorus
|
| 34 |
+
eurasian coot,aves,gruiformes,rallidae,fulica,atra
|
| 35 |
+
black-tailed native-hen,aves,gruiformes,rallidae,gallinula,ventralis
|
| 36 |
+
buff-banded rail,aves,gruiformes,rallidae,gallirallus,philippensis
|
| 37 |
+
purple swamphen,aves,gruiformes,rallidae,porphyrio,melanotus
|
| 38 |
+
yellow-rumped thornbill,aves,passeriformes,acanthizidae,acanthiza,chrysorrhoa
|
| 39 |
+
striated thornbill,aves,passeriformes,acanthizidae,acanthiza,lineata
|
| 40 |
+
yellow thornbill,aves,passeriformes,acanthizidae,acanthiza,nana
|
| 41 |
+
brown thornbill,aves,passeriformes,acanthizidae,acanthiza,pusilla
|
| 42 |
+
buff-rumped thornbill,aves,passeriformes,acanthizidae,acanthiza,reguloides
|
| 43 |
+
chestnut-rumped thornbill,aves,passeriformes,acanthizidae,acanthiza,uropygialis
|
| 44 |
+
southern whiteface,aves,passeriformes,acanthizidae,aphelocephala,leucopsis
|
| 45 |
+
shy heathwren,aves,passeriformes,acanthizidae,calamanthus,cautus
|
| 46 |
+
chestnut-rumped heathwren,aves,passeriformes,acanthizidae,calamanthus,pyrrhopygius
|
| 47 |
+
brown gerygone,aves,passeriformes,acanthizidae,gerygone,mouki
|
| 48 |
+
pilotbird,aves,passeriformes,acanthizidae,pycnoptilus,floccosus
|
| 49 |
+
speckled warbler,aves,passeriformes,acanthizidae,pyrrholaemus,sagittatus
|
| 50 |
+
white-browed scrubwren,aves,passeriformes,acanthizidae,sericornis,frontalis
|
| 51 |
+
weebill,aves,passeriformes,acanthizidae,smicrornis,brevirostris
|
| 52 |
+
dusky woodswallow,aves,passeriformes,artamidae,artamus,cyanopterus
|
| 53 |
+
masked woodswallow,aves,passeriformes,artamidae,artamus,personatus
|
| 54 |
+
white-browed woodswallow,aves,passeriformes,artamidae,artamus,superciliosus
|
| 55 |
+
red-browed treecreeper,aves,passeriformes,climacteridae,climacteris,erythrops
|
| 56 |
+
brown treecreeper,aves,passeriformes,climacteridae,climacteris,picumnus
|
| 57 |
+
white-throated treecreeper,aves,passeriformes,climacteridae,cormobates,leucophaea
|
| 58 |
+
white-winged chough,aves,passeriformes,corcoracidae,corcorax,melanoramphos
|
| 59 |
+
apostlebird,aves,passeriformes,corcoracidae,struthidea,cinerea
|
| 60 |
+
ravens and crows,aves,passeriformes,corvidae,,
|
| 61 |
+
australian raven,aves,passeriformes,corvidae,corvus,coronoides
|
| 62 |
+
pied butcherbird,aves,passeriformes,cracticidae,cracticus,nigrogularis
|
| 63 |
+
grey butcherbird,aves,passeriformes,cracticidae,cracticus,torquatus
|
| 64 |
+
australian magpie,aves,passeriformes,artamidae,gymnorhina,tibicen
|
| 65 |
+
pied currawong,aves,passeriformes,cracticidae,strepera,graculina
|
| 66 |
+
grey currawong,aves,passeriformes,cracticidae,strepera,versicolor
|
| 67 |
+
red-browed finch,aves,passeriformes,estrildidae,neochmia,temporalis
|
| 68 |
+
european goldfinch,aves,passeriformes,fringillidae,carduelis,carduelis
|
| 69 |
+
superb fairy-wren,aves,passeriformes,maluridae,malurus,cyaneus
|
| 70 |
+
splendid fairy-wren,aves,passeriformes,maluridae,malurus,splendens
|
| 71 |
+
spiny-cheeked honeyeater,aves,passeriformes,meliphagidae,acanthagenys,rufogularis
|
| 72 |
+
eastern spinebill,aves,passeriformes,meliphagidae,acanthorhynchus,tenuirostris
|
| 73 |
+
red wattlebird,aves,passeriformes,meliphagidae,anthochaera,carunculata
|
| 74 |
+
little wattlebird,aves,passeriformes,meliphagidae,anthochaera,chrysoptera
|
| 75 |
+
yellow-faced honeyeater,aves,passeriformes,meliphagidae,caligavis,chrysops
|
| 76 |
+
singing honeyeater,aves,passeriformes,meliphagidae,gavicalis,virescens
|
| 77 |
+
tawny-crowned honeyeater,aves,passeriformes,meliphagidae,gliciphila,melanops
|
| 78 |
+
yellow-tufted honeyeater,aves,passeriformes,meliphagidae,lichenostomus,melanops
|
| 79 |
+
noisy miner,aves,passeriformes,meliphagidae,manorina,melanocephala
|
| 80 |
+
brown-headed honeyeater,aves,passeriformes,meliphagidae,melithreptus,brevirostris
|
| 81 |
+
white-naped honeyeater,aves,passeriformes,meliphagidae,melithreptus,lunatus
|
| 82 |
+
white-eared honeyeater,aves,passeriformes,meliphagidae,nesoptilotis,leucotis
|
| 83 |
+
new holland honeyeater,aves,passeriformes,meliphagidae,phylidonyris,novaehollandiae
|
| 84 |
+
crescent honeyeater,aves,passeriformes,meliphagidae,phylidonyris,pyrrhopterus
|
| 85 |
+
white-plumed honeyeater,aves,passeriformes,meliphagidae,ptilotula,penicillata
|
| 86 |
+
white-fronted honeyeater,aves,passeriformes,meliphagidae,purnella,albifrons
|
| 87 |
+
superb lyrebird,aves,passeriformes,menuridae,menura,novaehollandiae
|
| 88 |
+
magpie-lark,aves,passeriformes,monarchidae,grallina,cyanoleuca
|
| 89 |
+
restless flycatcher,aves,passeriformes,monarchidae,myiagra,inquieta
|
| 90 |
+
australian pipit,aves,passeriformes,motacillidae,anthus,australis
|
| 91 |
+
grey shrike-thrush,aves,passeriformes,pachycephalidae,colluricincla,harmonica
|
| 92 |
+
olive whistler,aves,passeriformes,pachycephalidae,pachycephala,olivacea
|
| 93 |
+
golden whistler,aves,passeriformes,pachycephalidae,pachycephala,pectoralis
|
| 94 |
+
spotted pardalote,aves,passeriformes,pardalotidae,pardalotus,punctatus
|
| 95 |
+
southern scrub-robin,aves,passeriformes,petroicidae,drymodes,brunneopygia
|
| 96 |
+
eastern yellow robin,aves,passeriformes,petroicidae,eopsaltria,australis
|
| 97 |
+
hooded robin,aves,passeriformes,petroicidae,melanodryas,cucullata
|
| 98 |
+
jacky winter,aves,passeriformes,petroicidae,microeca,fascinans
|
| 99 |
+
scarlet robin,aves,passeriformes,petroicidae,petroica,boodang
|
| 100 |
+
flame robin,aves,passeriformes,petroicidae,petroica,phoenicea
|
| 101 |
+
pink robin,aves,passeriformes,petroicidae,petroica,rodinogaster
|
| 102 |
+
rose robin,aves,passeriformes,petroicidae,petroica,rosea
|
| 103 |
+
white-browed babbler,aves,passeriformes,pomatostomidae,pomatostomus,superciliosus
|
| 104 |
+
chestnut quail-thrush,aves,passeriformes,psophodidae,cinclosoma,castanotum
|
| 105 |
+
spotted quail-thrush,aves,passeriformes,psophodidae,cinclosoma,punctatum
|
| 106 |
+
eastern whipbird,aves,passeriformes,psophodidae,psophodes,olivaceus
|
| 107 |
+
satin bowerbird,aves,passeriformes,ptilonorhynchidae,ptilonorhynchus,violaceus
|
| 108 |
+
grey fantail,aves,passeriformes,rhipiduridae,rhipidura,albiscapa
|
| 109 |
+
willie wagtail,aves,passeriformes,rhipiduridae,rhipidura,leucophrys
|
| 110 |
+
rufous fantail,aves,passeriformes,rhipiduridae,rhipidura,rufifrons
|
| 111 |
+
common starling,aves,passeriformes,sturnidae,sturnus,vulgaris
|
| 112 |
+
common blackbird,aves,passeriformes,turdidae,turdus,merula
|
| 113 |
+
bassian thrush,aves,passeriformes,turdidae,zoothera,lunulata
|
| 114 |
+
silvereye,aves,passeriformes,zosteropidae,zosterops,lateralis
|
| 115 |
+
white-faced heron,aves,pelecaniformes,ardeidae,egretta,novaehollandiae
|
| 116 |
+
australian white ibis,aves,pelecaniformes,threskiornithidae,threskiornis,molucca
|
| 117 |
+
short-tailed shearwater,aves,procellariiformes,procellariidae,puffinus,tenuirostris
|
| 118 |
+
yellow-tailed black-cockatoo,aves,psittaciformes,cacatuidae,zanda,funerea
|
| 119 |
+
australian king parrot,aves,psittaciformes,psittacidae,alisterus,scapularis
|
| 120 |
+
australian ringneck,aves,psittaciformes,psittacidae,barnardius,zonarius
|
| 121 |
+
sulphur-crested cockatoo,aves,psittaciformes,psittacidae,cacatua,galerita
|
| 122 |
+
little corella,aves,psittaciformes,psittacidae,cacatua,sanguinea
|
| 123 |
+
long-billed corella,aves,psittaciformes,psittacidae,cacatua,tenuirostris
|
| 124 |
+
galah,aves,psittaciformes,psittacidae,eolophus,roseicapilla
|
| 125 |
+
blue-winged parrot,aves,psittaciformes,psittacidae,neophema,chrysostoma
|
| 126 |
+
blue bonnet,aves,psittaciformes,psittacidae,northiella,haematogaster
|
| 127 |
+
crimson rosella,aves,psittaciformes,psittacidae,platycercus,elegans
|
| 128 |
+
eastern rosella,aves,psittaciformes,psittacidae,platycercus,eximius
|
| 129 |
+
regent parrot,aves,psittaciformes,psittacidae,polytelis,anthopeplus
|
| 130 |
+
red-rumped parrot,aves,psittaciformes,psittacidae,psephotus,haematonotus
|
| 131 |
+
mulga parrot,aves,psittaciformes,psittacidae,psephotus,varius
|
| 132 |
+
little penguin,aves,sphenisciformes,spheniscidae,eudyptula,minor
|
| 133 |
+
southern boobook,aves,strigiformes,strigidae,ninox,boobook
|
| 134 |
+
eastern barn owl,aves,strigiformes,tytonidae,tyto,javanica
|
| 135 |
+
owl,aves,strigiformes,,,
|
| 136 |
+
cattle feral,mammalia,artiodactyla,bovidae,bos,taurus
|
| 137 |
+
goat feral,mammalia,artiodactyla,bovidae,capra,hircus
|
| 138 |
+
sheep feral,mammalia,artiodactyla,bovidae,ovis,aries
|
| 139 |
+
hog deer,mammalia,artiodactyla,cervidae,axis,porcinus
|
| 140 |
+
red deer,mammalia,artiodactyla,cervidae,cervus,elaphus
|
| 141 |
+
fallow deer,mammalia,artiodactyla,cervidae,dama,dama
|
| 142 |
+
sambar deer,mammalia,artiodactyla,cervidae,rusa,unicolor
|
| 143 |
+
pig feral,mammalia,artiodactyla,suidae,sus,scrofa
|
| 144 |
+
dingo,mammalia,carnivora,canidae,canis,dingo
|
| 145 |
+
red fox,mammalia,carnivora,canidae,vulpes,vulpes
|
| 146 |
+
domestic cat feral,mammalia,carnivora,felidae,felis,catus
|
| 147 |
+
bat,mammalia,chiroptera,,,
|
| 148 |
+
agile antechinus,mammalia,dasyuromorphia,dasyuridae,antechinus,agilis
|
| 149 |
+
yellow-footed antechinus,mammalia,dasyuromorphia,dasyuridae,antechinus,flavipes
|
| 150 |
+
swamp antechinus,mammalia,dasyuromorphia,dasyuridae,antechinus,minimus
|
| 151 |
+
mainland dusky antechinus,mammalia,dasyuromorphia,dasyuridae,antechinus,swainsonii
|
| 152 |
+
spot-tailed quoll,mammalia,dasyuromorphia,dasyuridae,dasyurus,maculatus
|
| 153 |
+
brush-tailed phascogale,mammalia,dasyuromorphia,dasyuridae,phascogale,tapoatafa
|
| 154 |
+
gile's planigale,mammalia,dasyuromorphia,dasyuridae,planigale,gilesi
|
| 155 |
+
fat-tailed dunnart,mammalia,dasyuromorphia,dasyuridae,sminthopsis,crassicaudata
|
| 156 |
+
white-footed dunnart,mammalia,dasyuromorphia,dasyuridae,sminthopsis,leucopus
|
| 157 |
+
common dunnart,mammalia,dasyuromorphia,dasyuridae,sminthopsis,murina
|
| 158 |
+
feather-tailed glider species,mammalia,diprotodontia,acrobatidae,acrobates,
|
| 159 |
+
narrow-toed feathertail glider,mammalia,diprotodontia,acrobatidae,acrobates,frontalis
|
| 160 |
+
eastern pygmy-possum,mammalia,diprotodontia,burramyidae,cercartetus,nanus
|
| 161 |
+
western grey kangaroo,mammalia,diprotodontia,macropodidae,macropus,fuliginosus
|
| 162 |
+
eastern grey kangaroo,mammalia,diprotodontia,macropodidae,macropus,giganteus
|
| 163 |
+
red kangaroo,mammalia,diprotodontia,macropodidae,macropus,rufus
|
| 164 |
+
black-tailed wallaby,mammalia,diprotodontia,macropodidae,wallabia,bicolor
|
| 165 |
+
red-necked wallaby,mammalia,diprotodontia,macropodidae,notamacropus,rufogriseus
|
| 166 |
+
brush-tailed rock-wallaby,mammalia,diprotodontia,macropodidae,petrogale,penicillata
|
| 167 |
+
leadbeater's possum,mammalia,diprotodontia,petauridae,gymnobelideus,leadbeateri
|
| 168 |
+
yellow-bellied glider,mammalia,diprotodontia,petauridae,petaurus,australis
|
| 169 |
+
sugar glider,mammalia,diprotodontia,petauridae,petaurus,breviceps
|
| 170 |
+
mountain brush-tailed possum,mammalia,diprotodontia,phalangeridae,trichosurus,cunninghami
|
| 171 |
+
common brush-tailed possum,mammalia,diprotodontia,phalangeridae,trichosurus,vulpecula
|
| 172 |
+
koala,mammalia,diprotodontia,phascolarctidae,phascolarctos,cinereus
|
| 173 |
+
long-footed potoroo,mammalia,diprotodontia,potoroidae,potorous,longipes
|
| 174 |
+
long-nosed potoroo,mammalia,diprotodontia,potoroidae,potorous,tridactylus
|
| 175 |
+
southern greater glider,mammalia,diprotodontia,pseudocheiridae,petauroides,volans
|
| 176 |
+
eastern ring-tailed possum,mammalia,diprotodontia,pseudocheiridae,pseudocheirus,peregrinus
|
| 177 |
+
bare-nosed wombat,mammalia,diprotodontia,vombatidae,vombatus,ursinus
|
| 178 |
+
lagomorph spp,mammalia,lagomorpha,leporidae,,
|
| 179 |
+
european brown hare,mammalia,lagomorpha,leporidae,lepus,europaeus
|
| 180 |
+
european rabbit,mammalia,lagomorpha,leporidae,oryctolagus,cuniculus
|
| 181 |
+
platypus,mammalia,monotremata,ornithorhynchidae,ornithorhynchus,anatinus
|
| 182 |
+
short-beaked echidna,mammalia,monotremata,tachyglossidae,tachyglossus,aculeatus
|
| 183 |
+
southern brown bandicoot,mammalia,peramelemorphia,peramelidae,isoodon,obesulus
|
| 184 |
+
eastern barred bandicoot,mammalia,peramelemorphia,peramelidae,perameles,gunnii
|
| 185 |
+
southern long-nosed bandicoot,mammalia,peramelemorphia,peramelidae,perameles,nasuta
|
| 186 |
+
donkey,mammalia,perissodactyla,equidae,equus,asinus
|
| 187 |
+
horse feral,mammalia,perissodactyla,equidae,equus,caballus
|
| 188 |
+
water rat,mammalia,rodentia,muridae,hydromys,chrysogaster
|
| 189 |
+
broad-toothed rat,mammalia,rodentia,muridae,mastacomys,fuscus
|
| 190 |
+
house mouse,mammalia,rodentia,muridae,mus,musculus
|
| 191 |
+
mitchell's hopping-mouse,mammalia,rodentia,muridae,notomys,mitchellii
|
| 192 |
+
silky mouse,mammalia,rodentia,muridae,pseudomys,apodemoides
|
| 193 |
+
smoky mouse,mammalia,rodentia,muridae,pseudomys,fumeus
|
| 194 |
+
heath mouse,mammalia,rodentia,muridae,pseudomys,shortridgei
|
| 195 |
+
bush rat,mammalia,rodentia,muridae,rattus,fuscipes
|
| 196 |
+
swamp rat,mammalia,rodentia,muridae,rattus,lutreolus
|
| 197 |
+
black rat,mammalia,rodentia,muridae,rattus,rattus
|
| 198 |
+
tree dragon,reptilia,squamata,agamidae,amphibolurus,muricatus
|
| 199 |
+
painted dragon,reptilia,squamata,agamidae,ctenophorus,pictus
|
| 200 |
+
nobbi dragon,reptilia,squamata,agamidae,diporiphora,nobbi
|
| 201 |
+
central bearded dragon,reptilia,squamata,agamidae,pogona,vitticeps
|
| 202 |
+
highland copperhead,reptilia,squamata,elapidae,austrelaps,ramsayi
|
| 203 |
+
tiger snake,reptilia,squamata,elapidae,notechis,scutatus
|
| 204 |
+
red-bellied black snake,reptilia,squamata,elapidae,pseudechis,porphyriacus
|
| 205 |
+
eastern brown snake,reptilia,squamata,elapidae,pseudonaja,textilis
|
| 206 |
+
skink spp,reptilia,squamata,scincidae,,
|
| 207 |
+
cunninghams skink,reptilia,squamata,scincidae,egernia,cunninghami
|
| 208 |
+
black rock skink,reptilia,squamata,scincidae,egernia,saxatilis
|
| 209 |
+
yellow-bellied water skink,reptilia,squamata,scincidae,eulamprus,heatwolei
|
| 210 |
+
delicate skink,reptilia,squamata,scincidae,lampropholis,delicata
|
| 211 |
+
garden skink,reptilia,squamata,scincidae,lampropholis,guichenoti
|
| 212 |
+
blotched blue-tongued lizard,reptilia,squamata,scincidae,tiliqua,nigrolutea
|
| 213 |
+
stumpy-tailed lizard,reptilia,squamata,scincidae,tiliqua,rugosa
|
| 214 |
+
common blue-tongued lizard,reptilia,squamata,scincidae,tiliqua,scincoides
|
| 215 |
+
snake spp,reptilia,squamata,serpentes,,
|
| 216 |
+
sand goanna,reptilia,squamata,varanidae,varanus,gouldii
|
| 217 |
+
lace monitor,reptilia,squamata,varanidae,varanus,varius
|
| 218 |
+
lizard spp,reptilia,squamata,,,
|