Upload agents/statistical_agent.py with huggingface_hub
Browse files
agents/statistical_agent.py
CHANGED
|
@@ -304,8 +304,8 @@ ALL_TESTS=[t01_dct_kurtosis,t02_benford,t03_gradient_sparsity,t04_local_kurtosis
|
|
| 304 |
t15_saturation_distribution,t16_luminance_gradient_ratio,t17_pixel_uniqueness,t18_global_entropy,
|
| 305 |
t19_power_law_fit,t20_contrast_distribution,t21_joint_histogram,t22_run_length]
|
| 306 |
|
| 307 |
-
def run_statistical_agent(img):
|
| 308 |
from agents.utils import run_agent_tests
|
| 309 |
from agents.optical_agent import AgentEvidence
|
| 310 |
-
findings, avg, conf, fail, rat = run_agent_tests(ALL_TESTS, img, "Statistical Priors Agent")
|
| 311 |
return AgentEvidence("Statistical Priors Agent", np.clip(avg,-1,1), conf, fail, rat, findings)
|
|
|
|
| 304 |
t15_saturation_distribution,t16_luminance_gradient_ratio,t17_pixel_uniqueness,t18_global_entropy,
|
| 305 |
t19_power_law_fit,t20_contrast_distribution,t21_joint_histogram,t22_run_length]
|
| 306 |
|
| 307 |
+
def run_statistical_agent(img, modality_adjustments=None):
|
| 308 |
from agents.utils import run_agent_tests
|
| 309 |
from agents.optical_agent import AgentEvidence
|
| 310 |
+
findings, avg, conf, fail, rat = run_agent_tests(ALL_TESTS, img, "Statistical Priors Agent", modality_adjustments)
|
| 311 |
return AgentEvidence("Statistical Priors Agent", np.clip(avg,-1,1), conf, fail, rat, findings)
|